{"id":45,"date":"2023-03-23T07:56:02","date_gmt":"2023-03-23T02:26:02","guid":{"rendered":"https:\/\/www.trackmyhashtag.com\/blog\/?p=45"},"modified":"2025-08-18T12:21:33","modified_gmt":"2025-08-18T06:51:33","slug":"free-twitter-datasets","status":"publish","type":"post","link":"https:\/\/www.trackmyhashtag.com\/blog\/free-twitter-datasets\/","title":{"rendered":"Free Twitter Datasets Mega Compilation"},"content":{"rendered":"[vc_row type=&#8221;in_container&#8221; full_screen_row_position=&#8221;middle&#8221; column_margin=&#8221;default&#8221; column_direction=&#8221;default&#8221; column_direction_tablet=&#8221;default&#8221; column_direction_phone=&#8221;default&#8221; scene_position=&#8221;center&#8221; text_color=&#8221;dark&#8221; text_align=&#8221;left&#8221; row_border_radius=&#8221;none&#8221; row_border_radius_applies=&#8221;bg&#8221; overflow=&#8221;visible&#8221; overlay_strength=&#8221;0.3&#8243; gradient_direction=&#8221;left_to_right&#8221; shape_divider_position=&#8221;bottom&#8221; bg_image_animation=&#8221;none&#8221;][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;1\/4&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;default&#8221; gradient_type=&#8221;default&#8221; offset=&#8221;vc_hidden-sm vc_hidden-xs&#8221;][\/vc_column][vc_column column_padding=&#8221;no-extra-padding&#8221; column_padding_tablet=&#8221;inherit&#8221; column_padding_phone=&#8221;inherit&#8221; column_padding_position=&#8221;all&#8221; column_element_direction_desktop=&#8221;default&#8221; column_element_spacing=&#8221;default&#8221; desktop_text_alignment=&#8221;default&#8221; tablet_text_alignment=&#8221;default&#8221; phone_text_alignment=&#8221;default&#8221; background_color_opacity=&#8221;1&#8243; background_hover_color_opacity=&#8221;1&#8243; column_backdrop_filter=&#8221;none&#8221; column_shadow=&#8221;none&#8221; column_border_radius=&#8221;none&#8221; column_link_target=&#8221;_self&#8221; column_position=&#8221;default&#8221; el_class=&#8221;text_block_wrapper&#8221; gradient_direction=&#8221;left_to_right&#8221; overlay_strength=&#8221;0.3&#8243; width=&#8221;3\/4&#8243; tablet_width_inherit=&#8221;default&#8221; animation_type=&#8221;default&#8221; bg_image_animation=&#8221;none&#8221; border_type=&#8221;simple&#8221; column_border_width=&#8221;none&#8221; column_border_style=&#8221;solid&#8221; column_padding_type=&#8221;default&#8221; gradient_type=&#8221;default&#8221; offset=&#8221;vc_col-lg-9 vc_col-md-12&#8243;][image_with_animation image_url=&#8221;4198&#8243; image_size=&#8221;full&#8221; animation_type=&#8221;entrance&#8221; animation=&#8221;None&#8221; animation_movement_type=&#8221;transform_y&#8221; hover_animation=&#8221;none&#8221; alignment=&#8221;&#8221; border_radius=&#8221;none&#8221; box_shadow=&#8221;none&#8221; image_loading=&#8221;default&#8221; max_width=&#8221;100%&#8221; max_width_mobile=&#8221;default&#8221;][vc_column_text]X (Twitter) provides access to its public data through its API (Application Programming Interface), which allows developers to retrieve tweets and other information from the platform. You can find more Twitter datasets by searching online, and many of them are available for free.[\/vc_column_text][vc_column_text]Twitter has set itself apart as a direct communication medium to a very large audience.\u00a0Tweets are precise and convey the message in a snappy manner and this has led to Twitter becoming so popular that it is now influencing global landscapes. In this post, we are going to discuss the reliable sources to acquire free Twitter datasets.<\/p>\n<p><strong>Download any required Twitter dataset using Trackmyhashtag:\u00a0<\/strong><\/p>\n<p>It&#8217;s really easy to download or get access\u00a0to Twitter datasets of any search term or criteria, just follow these simple steps :<\/p>\n<ol>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">To get custom Twitter datasets, you need to fill request historical Twitter datasets form.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Fill <\/span><span style=\"font-weight: 400\">out<\/span><span style=\"font-weight: 400\"> the form with your email address, search term, select the date ranges and submit.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Once you have submitted the form, our team will get back to you with the pricing and dataset specifications.<\/span><\/li>\n<\/ol>\n<p>After a while, you&#8217;ll receive your Twitter dataset and details associated with it.<\/p>\n<p><a href=\"https:\/\/www.trackmyhashtag.com\/twitter-data-for-academic-research\"><strong>Twitter data<\/strong><\/a> sets can be effectively utilized in the areas of academic research, social projects, and studying marketing methodologies. I have compiled archives of various free Twitter datasets accumulated from various sources which can be very effective for someone looking for a reliable source of Twitter data sets.<\/p>\n<p>I have also mentioned a method to get <a href=\"https:\/\/www.trackmyhashtag.com\/historical-twitter-data\"><strong>specific historical Twitter data<\/strong><\/a> of any kind, but before that, let&#8217;s discuss all the reliable sources to download free Twitter datasets.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_74 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.trackmyhashtag.com\/blog\/free-twitter-datasets\/#Check_out_all_these_sources_to_get_free_Twitter_datasets_for_research_purposes_or_analysis\" >Check out all these sources to get free Twitter datasets for research purposes or analysis:<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.trackmyhashtag.com\/blog\/free-twitter-datasets\/#About_TrackMyHashtag\" >About TrackMyHashtag<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Check_out_all_these_sources_to_get_free_Twitter_datasets_for_research_purposes_or_analysis\"><\/span><b>Check out all these sources to get free Twitter datasets for research purposes or analysis:<\/b><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p><strong>1. TrackMyHashtag<\/strong><br \/>\n<strong>Type-<\/strong> Corona Virus (Covid-19) Tweet Metadata Compilation 2020<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.trackmyhashtag.com\/data\/COVID-19.zip\">www.trackmyhashtag.com\/data\/COVID-19.zip<\/a><br \/>\nThe Twitter Dataset comprises 60K random tweets from public Twitter accounts related to the search term \u201cCovid-19\u201d. The dataset was amassed using Twitter\u2019s Stream API over a period of 8 weeks (1<sup>st<\/sup> Dec 2019 \u2013 28 Jan 2020). The dataset is available in Excel\/CSV format and is segmented into 3 fields, namely tweet data, images, and videos.<\/p>\n<p><strong>2. Arxiv<\/strong><br \/>\n<strong>Type:<\/strong> VoterFraud 2020 dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/arxiv.org\/abs\/2101.08210\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/arxiv.org\/abs\/2101.08210<\/a><br \/>\nThe dataset was accumulated to analyze rumors surrounding the 2020 election voter fraud. The dataset contains 7.6 million original tweets and 25.6 million retweets from 2.6 million unique users related to voter fraud claims.<\/p>\n<p><strong>3. Arxiv<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/arxiv.org\/abs\/2003.07372\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/arxiv.org\/abs\/2003.07372<\/a><br \/>\nThe Twitter dataset contains tweets related to COVID-19. The dataset has been continuously collected since January 22, 2020. It dataset was accumulated for research purposes (the study of online conversation dynamics in the context of a planetary-scale epidemic outbreak).<\/p>\n<p><strong>4. Dataport<\/strong><br \/>\n<strong>Type:<\/strong> Corona-virus tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/ieee-dataport.org\/open-access\/coronavirus-covid-19-tweets-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/ieee-dataport.org\/open-access\/coronavirus-covid-19-tweets-dataset<\/a><br \/>\nThe dataset contains over 433+ million tweets collected by an ongoing project deployed <a href=\"https:\/\/live.rlamsal.com.np\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/live.rlamsal.com.np<\/a>. The model monitors real-time Twitter feeds for Corona-virus related tweets using 90+ keywords and hashtags.<\/p>\n<p><strong>5. Archive.org<\/strong><br \/>\n<strong>Type:<\/strong> 2016 presidential election<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/archive.org\/details\/twitter-ira\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/archive.org\/details\/twitter-ira<\/a><br \/>\nThis dataset was released by Twitter on October 17, 2018, to provide transparency to state-sponsored propaganda that was alleged to have occurred on the platform in the lead up to and directly following the 2016 presidential election.<\/p>\n<p><strong>6. Zendo<\/strong><br \/>\n<strong>Type-<\/strong> COVID-19 150 million tweets<br \/>\n<strong>Link-<\/strong> <a href=\"https:\/\/zenodo.org\/record\/3738018#.Xor4vC-cYfQ\" target=\"_blank\" rel=\"nofollow noopener\">www.zenodo.org\/record\/3738018#.Xor4vC-cYfQ<\/a><br \/>\nThe Twitter dataset was collected through the stream and includes tweet metadata from all languages. The prevailing languages include English, Spanish, And French. The dataset includes tweets and retweets (152,920,832 tweets) in a .tsv file. The link also includes a cleaned dataset with no retweets (30,990,645 unique tweets) in a .tsv file format.<\/p>\n<p><strong>7. Archive.org<\/strong><br \/>\n<strong>Type- <\/strong>Miscellaneous research data (2013-2018).<br \/>\n<strong>Link- <\/strong><a href=\"http:\/\/www.archive.org\/details\/twitterstream\" target=\"_blank\" rel=\"nofollow noopener\">www.archive.org\/details\/twitterstream<\/a><br \/>\nThis is a collection of free Twitter datasets gathered through the stream for sentiment analysis, research, history, testing, and data retention. We can go through loads of data in this archive and purposefully select the stream we need. These archives have loads of data that can be sorted and used as needed. The Twitter datasets available here can be downloaded for free.<\/p>\n<p><strong>8. Data.world\u00a0<\/strong><br \/>\n<strong>Type- <\/strong>MNCs&#8217; Twitter accounts and influential people.<br \/>\n<strong>Link- <\/strong>www.<a href=\"https:\/\/data.world\/datasets\/twitter\" target=\"_blank\" rel=\"nofollow noopener\">data.world\/datasets\/twitter<\/a><br \/>\nData.world is a free Twitter dataset repository. Users can find datasets ranging from companies to influential individuals. We can simply head over to the website and browse through their collection of Twitter datasets.<\/p>\n<p><strong>9. Github<\/strong><br \/>\n<strong>Type- <\/strong>Russian troll tweets to celebrity accounts.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.github.com\/shaypal5\/awesome-twitter-data\" target=\"_blank\" rel=\"nofollow noopener\">www.github.com\/shaypal5\/awesome-twitter-data<\/a><br \/>\nLike all things on Github, this is a free data repository. The Twitter datasets range from Elon musk Tweets to Russian troll tweets. Users can simply head over to the mentioned URL and browse through their vast collection of Twitter datasets.<\/p>\n<p><strong>10. Kaggle<\/strong><br \/>\n<strong>Type- <\/strong>Scientific research data.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.kaggle.com\/datasets?search=twitter\" target=\"_blank\" rel=\"nofollow noopener\">www.kaggle.com\/datasets?search=twitter<\/a><br \/>\nKaggle is a free online repository for sharing codes, scientific data, and Twitter datasets as well. There is a huge collection of Twitter datasets submitted by users that are available to download for free. The data ranges from environmental studies to tweets from demonetization in India.<\/p>\n<p><strong>11. ICWSM<\/strong><br \/>\n<strong>Type- <\/strong>Academic research data.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.icwsm.org\/2015\/datasets\/datasets\/\" target=\"_blank\" rel=\"nofollow noopener\">www.icwsm.org\/2015\/datasets\/datasets\/<\/a><br \/>\nICWSM is a data-sharing initiative that has a vast collection of Twitter datasets. The collection is free to download, the users only have to register on the website and sign a disclosure under which he\/she agrees not to share the report. These data sets can be extremely beneficial in the field of academic research.<\/p>\n<p><strong>12. ISI.edu<\/strong><br \/>\n<strong>Type- <\/strong>Old Twitter data from October 2010.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.isi.edu\/~lerman\/downloads\/twitter\/twitter2010.html\" target=\"_blank\" rel=\"nofollow noopener\">www.isi.edu\/~lerman\/downloads\/twitter\/twitter2010.html<\/a><br \/>\nThis dataset contains tweets that were posted on Twitter in October 2010. Although quite old, this might still be relevant to data minors and academicians. Just click on the link to download the dataset<\/p>\n<p><strong>13. Trec.nist.gov<\/strong><br \/>\n<strong>Type- <\/strong>Sample of 16 million unfiltered tweets.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/trec.nist.gov\/data\/tweets\/\" target=\"_blank\" rel=\"nofollow noopener\">trec.nist.gov\/data\/tweets\/<\/a><br \/>\nThis archive consists of approximately 16 million tweets sampled between January 23<sup>rd<\/sup> to February 8<sup>th<\/sup>. This is an unfiltered archive and consists of important and spam tweets. The user just needs to sign a disclosure agreeing not to use the data for commercial purposes and after that, you can download the archive right away.<\/p>\n<p><strong>14. Kdnuggets<\/strong><br \/>\n<strong>Type- <\/strong>Miscellaneous.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.kdnuggets.com\/datasets\/index.html\" target=\"_blank\" rel=\"nofollow noopener\">www.kdnuggets.com\/datasets\/index.html<\/a><br \/>\nKdnuggets is a multi-centric portal that provides information on jobs, relevant courses, webinars, and free downloadable Twitter datasets as well. You can go directly to the link provided and browse through their collection of datasets.<\/p>\n<p><strong>15. Github troll tweets<\/strong><br \/>\n<strong>Type- <\/strong>Russian troll tweets.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.github.com\/fivethirtyeight\/russian-troll-tweets\/\" target=\"_blank\" rel=\"nofollow noopener\">www.github.com\/fivethirtyeight\/russian-troll-tweets\/<\/a><br \/>\nThis Github archive provides a large dataset of Russian troll tweets. All the datasets are readily downloadable in CSV format.<\/p>\n<p><strong>16. Github scraped public tweets<\/strong><br \/>\n<strong>Type-<\/strong> Miscellaneous public tweets.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/archive.org\/details\/twitter_cikm_2010\" target=\"_blank\" rel=\"nofollow noopener\">archive.org\/details\/twitter_cikm_2010<\/a><br \/>\nThis Twitter dataset is a collection of scraped public Twitter updates used in coordination with an academic project to study the geolocation data related to the tweets.<\/p>\n<p><strong>17. Mega.NZ Reddit data set<\/strong><br \/>\n<strong>Type- <\/strong>Reddit comments data set.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/mega.nz\/#!ysBWXRqK!yPXLr25PgJi184pbJU3GtnqUY4wG7YvuPpxJjEmnb9A\" target=\"_blank\" rel=\"nofollow noopener\">mega.nz\/#!ysBWXRqK!yPXLr25PgJi184pbJU3GtnqUY4wG7YvuPpxJjEmnb9A<\/a><br \/>\nThis is the dataset of entire Reddit\u2019s publicly available comments which can be used for massive analytical research. The file size is about 250 GB compressed and over 1 TB uncompressed. The link provided is of the torrent file which can be easily downloaded using a torrent client.<\/p>\n<p><strong>18. Kaggle customer support data sets<\/strong><br \/>\n<strong>Type- <\/strong>Customer support tweets.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.kaggle.com\/thoughtvector\/customer-support-on-twitter\" target=\"_blank\" rel=\"nofollow noopener\">www.kaggle.com\/thoughtvector\/customer-support-on-twitter<\/a><br \/>\nThis dataset consists of over 3 Million tweets by customer support of various big brands and companies. This can be used in understanding conversational models, and for the study of modern customer support practices and impact.<\/p>\n<p><strong>19. Academic torrents<\/strong><br \/>\n<strong>Type- <\/strong>URL&#8217;s posted on Twitter in October 2010.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/academictorrents.com\/details\/d8b3a315172c8d804528762f37fa67db14577cdb\" target=\"_blank\" rel=\"nofollow noopener\">academictorrents.com\/details\/d8b3a315172c8d804528762f37fa67db14577cdb<\/a><br \/>\nThis dataset consists of URLs that were posted on Twitter in October 2010. The link will take you to the Torrent file which can be easily downloaded through a torrent client.<\/p>\n<p><strong>20. Sentiment140<\/strong><br \/>\n<strong>Type- <\/strong>Tweet sentiment analysis data.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/help.sentiment140.com\/for-students\" target=\"_blank\" rel=\"nofollow noopener\">help.sentiment140.com\/for-students<\/a><br \/>\nSentiment140 allows you to discover the sentiment of a brand, product, or topic on Twitter. It filters through the tweets by understanding the negativity or positivity of the tweet or comment by analyzing emoticons, and can be paired with an <a href=\"https:\/\/create.vista.com\/suite-api\/\">API for marketing and advertising<\/a> to gain deeper insights and integrate results into campaigns.<\/p>\n<p><strong>21. Docnow<\/strong><br \/>\n<strong>Type- <\/strong>Miscellaneous.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/www.docnow.io\/catalog\/\" target=\"_blank\" rel=\"nofollow noopener\">www.docnow.io\/catalog\/<\/a><br \/>\nDocnow provides catalogs of Twitter datasets that are publicly available on the web. If you would like to turn these tweet identifier data back into the original JSON format then first download the data sets and then use the <a href=\"https:\/\/github.com\/docnow\/hydrator#readme\" target=\"_blank\" rel=\"nofollow noopener\">Hydrator<\/a>\u00a0desktop application, or\u00a0<a href=\"https:\/\/github.com\/docnow\/twarc\" target=\"_blank\" rel=\"nofollow noopener\">Twarc<\/a>\u00a0if you are comfortable working at the command line.<\/p>\n<p><strong>22. Harvard dataverse<\/strong><br \/>\n<strong>Type- <\/strong>USA presidential election tweets.<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/PDI7IN\" target=\"_blank\" rel=\"nofollow noopener\">dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/PDI7IN<\/a><br \/>\nThis Twitter dataset contains the tweet ids of approximately 280 million tweets related to the 2016 United States presidential election. They were collected between July 13, 2016, and November 10, 2016, from the Twitter API using\u00a0<a href=\"http:\/\/gwu-libraries.github.io\/sfm-ui\/\" target=\"_blank\" rel=\"nofollow noopener\">Social Feed Manager<\/a>.<\/p>\n<p><strong>23. Dfreelon<\/strong><br \/>\n<strong>Type- <\/strong>Miscellaneous.<br \/>\n<strong>Link- <\/strong><a href=\"http:\/\/www.dfreelon.org\/2017\/01\/03\/beyond-the-hashtags-twitter-data\/\" target=\"_blank\" rel=\"nofollow noopener\">www.dfreelon.org\/2017\/01\/03\/beyond-the-hashtags-twitter-data\/<\/a><br \/>\nThis Twitter dataset contains all 40,815,975 tweets matching at least one of the following 45 keywords that were posted between June 1, 2014, and May 31, 2015, and had not been deleted or protected as of July 2015. Head over to the link to find the list of the 45 keywords and download the data.<\/p>\n<p><strong>24. MPI-SWS<\/strong><br \/>\n<strong>Type-<\/strong> Miscellaneous Twitter Retweets<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/twitter.mpi-sws.org\" target=\"_blank\" rel=\"nofollow noopener\">twitter.mpi-sws.org<\/a><br \/>\nThe dataset contains user-to-user links from Twitter and different retweeting variations (RT, via, retweeting, retweet, HT, R\/T, and the recycling symbol) per day. The data was accumulated to conduct a study aimed at visualizing the media landscape, discovering topic authorities, crowd-sourced opinions, identifying topical content, and characterizing information trade on Twitter.<\/p>\n<p><strong>25. Sentiment140<\/strong><br \/>\n<strong>Type-<\/strong> Miscellaneous public tweets<br \/>\n<strong>Link-<\/strong><a href=\"http:\/\/help.sentiment140.com\/for-students\" target=\"_blank\" rel=\"nofollow noopener\"> help.sentiment140.com\/for-students<\/a><br \/>\nThe data consists of tweets of Twitter users. Its file is available in ExcelCSV format and is divided into six fields (tweet id, date of the tweet, popularity of the tweet, the query (LyX), the user\u00a0that tweeted and, the text of the tweet).<\/p>\n<p><strong>26. Thinknook<\/strong><br \/>\n<strong>Type-<\/strong> Miscellaneous Tweets<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/thinknook.com\/twitter-sentiment-analysis-training-corpus-dataset-2012-09-22\/\" target=\"_blank\" rel=\"nofollow noopener\">thinknook.com\/twitter-sentiment-analysis-training-corpus-dataset-2012-09-22\/<\/a><br \/>\nThe Twitter dataset contains 1,578,627 tweets from public Twitter profiles, amassed to perform a Twitter sentiment analysis by the University of Michigan.<\/p>\n<p><strong>27. IEEEDATAPORT<\/strong><br \/>\n<strong>Type-<\/strong> Miscellaneous public tweets<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/ieee-dataport.org\/comment\/221#comment-221\" target=\"_blank\" rel=\"nofollow noopener\">ieee-dataport.org\/comment\/221#comment-221<\/a><br \/>\nThe link provides various Twitter datasets collected by the LSTM model to perform sentiment analysis. The data is available in .db files and are SQLite files. The .db files contain three columns. First: date and time, second: tweet, and third: sentiment score for the tweet.<\/p>\n<p><strong>28. Pushshift.io<\/strong><br \/>\n<strong>Type-<\/strong> Kavanaugh Twitter Dataset<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.pushshift.io\/kavanaugh-twitter-dataset\/\" target=\"_blank\" rel=\"nofollow noopener\">www.pushshift.io\/kavanaugh-twitter-dataset\/<\/a><br \/>\nThis Twitter dataset was collected using the Twitter API over 3 weeks (Sept-22 to Oct 9, 2018). The dataset contains a total of 56 million tweets from 3.2 million unique accounts. The following keywords were tracked for this Twitter data: #Kavanaugh, \u201cSupreme Court\u201d, #KavanaughHearings, #KavanaughNomination.<\/p>\n<p><strong>29. GitHub<\/strong><br \/>\n<strong>Type-<\/strong> Movie Rating Tweets<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.github.com\/sidooms\/MovieTweetings\" target=\"_blank\" rel=\"nofollow noopener\">www.github.com\/sidooms\/MovieTweetings<\/a><br \/>\nThis is a Twitter dataset consisting of ratings on movies contained in well-structured Tweets on Twitter. Daily, the Twitter API is queried for the term \u201cI rated #IMDB\u201d. Through a series of regular expressions, relevant information such as user, movie, and rating is extracted. The ratings are then cross-referenced with the IMDB page to provide the genre metadata.<\/p>\n<p><strong>30. Zenodo.org<\/strong><br \/>\n<strong>Type- <\/strong>2017 German Elections Raw Tweet Data<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.zenodo.org\/record\/835735#.XnBrPS2B0cS\" target=\"_blank\" rel=\"nofollow noopener\">www.zenodo.org\/record\/835735#.XnBrPS2B0cS<\/a><br \/>\nThe Twitter dataset contains Twitter interactions related to German politicians of influential political parties for several months in the pre-phase of the German election campaigns 2017. The dataset comprises raw data of more than 120,000 active users generating more than 1,200,000 tweets.<\/p>\n<p><strong>31. <\/strong><strong>Zenodo<\/strong><br \/>\n<strong>Type-<\/strong>\u00a0Dataset to Detect Hazardous Events in Rome<br \/>\n<strong>Link-<\/strong> <a href=\"https:\/\/zenodo.org\/record\/3258416#.YSd3-i0RqZk\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/zenodo.org\/record<\/a><br \/>\n276865 tweets are used in this dataset, and they were retrieved from the Twitter stream from May 2018 to May 2019. Each one is identified by the ID which helps to pull the tweet out of the stream and get information about the text content, GPS information (if it is available), location, and time. The label for each tweet in the collection comes after the event detection phase is complete. The Baths of Diocletian Twitter account must tweet all-important or potentially hazardous information on the incident in Rome.<\/p>\n<p><strong>32. <\/strong><strong>Archive.org<\/strong><br \/>\n<strong>Type-<\/strong> General Twitter Stream<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.archive.org\/search.php?query=twitterstream&amp;sort=-publicdate\" target=\"_blank\" rel=\"nofollow noopener\">www.archive.org\/search.php?query=twitterstream&amp;sort=-publicdate<\/a><br \/>\nThe link provides various collections of Twitter datasets in JSON format accumulated from general Twitter streams. The data was collected for research, history, testing, and memory.<\/p>\n<p><strong>33. <\/strong><strong>Data.world<\/strong><br \/>\n<strong>Type-<\/strong> Gender Classifier Data<br \/>\n<strong>Link-<\/strong> <a href=\"http:\/\/www.data.world\/crowdflower\/gender-classifier-data\" target=\"_blank\" rel=\"nofollow noopener\">www.data.world\/crowdflower\/gender-classifier-data<\/a><br \/>\nThe Twitter dataset was used to train a CrowdFlower AI gender predictor. The dataset contains 20,000 rows, each with a user name, a random tweet, account profile and image, location, and even link and sidebar color.<\/p>\n<p><strong>34. Archive.org<\/strong><br \/>\n<strong>Type:<\/strong> General Twitter stream<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/archive.org\/details\/archiveteam-twitter-stream-2019-02\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/archive.org\/details\/archiveteam-twitter-stream-2019-02<\/a><br \/>\nThe archive is a simple collection of tweets in JSON format accumulated from a general Twitter stream. The Twitter dataset was amassed for research, history, testing, and memory.<\/p>\n<p><strong>35. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> US airlines<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/crowdflower\/twitter-airline-sentiment\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/crowdflower\/twitter-airline-sentiment<\/a><br \/>\nThe Twitter dataset is an accumulation of tweets related to every major US airline from February 2015. The tweets were amassed to perform sentiment analysis, contributors were asked to classify positive, negative, and neutral tweets followed by categorizing negative reasons.<\/p>\n<p><strong>36. T4SA<\/strong><br \/>\n<strong>Type:<\/strong> Image sentiment analysis<br \/>\n<strong>Link:<\/strong> <a href=\"http:\/\/www.t4sa.it\/\" target=\"_blank\" rel=\"nofollow noopener\">http:\/\/www.t4sa.it<\/a><br \/>\nThis Twitter dataset is an accumulation of tweets and related images to perform a study on cross-media learning for image sentiment analysis. The data collection process started in July and ended in December 2016.<\/p>\n<p><strong>37. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Hate speech classification<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/arkhoshghalb\/twitter-sentiment-analysis-hatred-speech\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/arkhoshghalb\/twitter-sentiment-analysis-hatred-speech<\/a><br \/>\nThe Twitter dataset was accumulated to detect hate speech in tweets. The study aimed at creating training data for classifying racist, sexist, or any kind of hate speech.<\/p>\n<p><strong>38. Data.world<\/strong><br \/>\n<strong>Type:<\/strong> Apple INC<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/crowdflower\/apple-twitter-sentiment\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/crowdflower\/apple-twitter-sentiment<\/a><br \/>\nThe data set is a compilation of tweets related to Apple INC. It was accumulated to analyze the sentiments of users surrounding Apple INC.<\/p>\n<p><strong>39. Data.world<\/strong><br \/>\n<strong>Type:<\/strong> Collection of datasets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/datasets\/twitter\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/datasets\/twitter<\/a><br \/>\nThe dataset is a collection of 87 different Twitter datasets. The datasets include tweets from Elon Musk, Donald Trump, the First GOP debate, and more.<\/p>\n<p><strong>40. Open Source Twitter Data<\/strong><br \/>\n<strong>Type:<\/strong> Collection of datasets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/awesomeopensource.com\/project\/shaypal5\/awesome-twitter-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/awesomeopensource.com\/project\/shaypal5\/awesome-twitter-data<\/a><br \/>\nA list of Twitter datasets and related resources released by creativecommas.org.<\/p>\n<p><strong>41. Digital Library<\/strong><br \/>\n<strong>Type:<\/strong> Democratic National Convention Philadelphia Tweets 2016<br \/>\n<strong>Link:<\/strong> <u><a href=\"https:\/\/digital.library.unt.edu\/ark:\/67531\/metadc993944\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/digital.library.unt.edu\/ark:\/67531\/metadc993944\/<\/a><\/u><br \/>\nThe dataset comprises tweets related to the 2016 Democratic National Convention Philadelphia and contains over 15 thousand tweets.<\/p>\n<p><strong>42. Word Mapper<\/strong><br \/>\n<strong>Type:<\/strong> US geocoded tweets<br \/>\n<strong>Link:<\/strong> <u><a href=\"https:\/\/sites.google.com\/site\/wordmapperinfo\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/sites.google.com\/site\/wordmapperinfo\/<\/a><\/u><br \/>\nThe Twitter dataset contains over 890 million geocoded tweets collected from across the contiguous United States between 11 October 2013 and 22 November 2014.<\/p>\n<p><strong>43. GitHub<\/strong><br \/>\n<strong>Type:<\/strong> FIFA World Cup Tweets<br \/>\n<strong>Link:<\/strong> <u><a href=\"https:\/\/github.com\/openfootball\/world-cup\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/openfootball\/world-cup<\/a><\/u><br \/>\nThe dataset contains tweets related to the FIFA World Cup Qualifiers in Brazil 2014 and Russia 2018.<\/p>\n<p><strong>44. Digital Library Repository<\/strong><br \/>\n<strong>Type:<\/strong> 2018 Texas Debate Twitter Dataset<br \/>\n<strong>Link:<\/strong> <u><a href=\"https:\/\/digital.library.unt.edu\/ark:\/67531\/metadc1259409\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/digital.library.unt.edu\/ark:\/67531\/metadc1259409\/<\/a><\/u><br \/>\nThe Twitter dataset is a compilation of tweets related to the United States Senate race between Beto O\u2019Rourke and Ted Cruz. The dataset contains tweets captured around the first debate on September 21, 2018.<\/p>\n<p><strong>45. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Corona Virus Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/smid80\/coronavirus-covid19-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/smid80\/coronavirus-covid19-tweets<\/a><br \/>\nThe dataset is an accumulation of tweets specific to the worldwide Corona Virus pandemic hashtags (#coronavirus, #covid19, and more). The tweets collected are from March and April.<\/p>\n<p><strong>46. Zendo<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 Twitter chatter dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/zenodo.org\/record\/4065674#.X32FkS8Rqvg\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/zenodo.org\/record\/4065674#.X32FkS8Rqvg<\/a><br \/>\nThe dataset contains COVID-19 tweets from January 27<sup>th<\/sup> and is frequently updated. The dataset contains tweets from all languages but the prevailing languages are English, Spanish, and French. It includes over 728,212,033 unique tweets. It also has a cleaned version of the dataset with 174,949,501 unique tweets.<\/p>\n<p><strong>47. HDX<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 Geo-tagged tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.humdata.org\/dataset\/covid-19-twitter-data-geographic-distribution?force_layout=desktop\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.humdata.org\/dataset\/covid-19-twitter-data-geographic-distribution?force_layout=desktop<\/a><br \/>\nThis Twitter dataset contains worldwide COVID-19 geotagged tweets. The files contain the distribution of tweets collected for the AIDR system, which comes with the geo-coordinated from Twitter.<\/p>\n<p><strong>48. Dataverse<\/strong><br \/>\n<strong>Type:<\/strong> Corona Virus Tweet Ids<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/LW0BTB\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/LW0BTB<\/a><br \/>\nThis dataset contains the tweet ids of 239,861,658 tweets related to the worldwide COVID-19 pandemic. The tweets were collected from March 3, 2020 \u2013 June 9 2020 using the Twitter API.<\/p>\n<p><strong>49. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 Twitter sentiment analysis<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/kungfuaiteam\/coronavirus-twitter-analysis\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/kungfuaiteam\/coronavirus-twitter-analysis<\/a><br \/>\nThis dataset is an accumulation of 19.95 million tweets related to the Corona Virus outbreak. The dataset was gathered to perform a Twitter sentiment analysis to identify patterns of disinformation and unusual propagation of content on Twitter.<\/p>\n<p><strong>50. OPENICPSR<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.openicpsr.org\/openicpsr\/project\/120321\/version\/V5\/view;jsessionid=8FDAB27BEFF4C9D3E377E555ED0E43D5\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.openicpsr.org\/openicpsr\/project\/120321\/version\/V5\/view;jsessionid=8FDAB27BEFF4C9D3E377E555ED0E43D5<\/a><br \/>\nThe dataset contains tweets related to conversations on the COVID-19 pandemic on Twitter. The dataset was amassed to perform a sentiment analysis and analyze the emotions of the users.<\/p>\n<p><strong>51. Dataverse<\/strong><br \/>\n<strong>Type:<\/strong> COVID dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/dataverse.scholarsportal.info\/dataset.xhtml?persistentId=doi:10.5683\/SP2\/PXF2CU\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.scholarsportal.info\/dataset.xhtml?persistentId=doi:10.5683\/SP2\/PXF2CU<\/a><br \/>\nThis Twitter dataset contains over 237 million tweet ids of tweets that mention COVID as a keyword. The dataset was gathered between March and July 2020.<\/p>\n<p><strong>52. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> US Election 2020 dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/radustoicescu\/2020-united-states-presidential-election\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/radustoicescu\/2020-united-states-presidential-election<\/a><br \/>\nThe dataset contains tweets posted by the 2020 US Presidential Election\u2019s Democratic Party Nominees. It also includes tweets posted by the current US President and the Vice-President.<\/p>\n<p><strong>53. Github<\/strong><br \/>\n<strong>Type:<\/strong> Democratic Party tweets 2020<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/github.com\/echen102\/us-pres-elections-2020\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/echen102\/us-pres-elections-2020<\/a><br \/>\nThe dataset is a vast collection of tweet ids associated with the 2020 US elections. The data collection was started on May 20, 2019, and is updated every week. The dataset is released for non-commercial research use.<\/p>\n<p><strong>54. IEEE DataPort<\/strong><br \/>\n<strong>Type:<\/strong> US Presidential Election 2020 dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/ieee-dataport.org\/open-access\/us-november-2020-election-tweets-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/ieee-dataport.org\/open-access\/us-november-2020-election-tweets-dataset<\/a><br \/>\nThis Twitter dataset includes US Presidential election 2020 related tweets. Specific hashtags and keywords related to #USAelection were used to collect data from the Democratic Party, Green Party, Libertarian Party, and Republican Party. It contains over 3.5 million tweets that were sent between 1<sup>st<\/sup> July 2020 \u2013 12<sup>th<\/sup> August 2020.<\/p>\n<p><strong>55. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Natural Language Processing Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/c\/nlp-getting-started\/data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/c\/nlp-getting-started\/data<\/a><br \/>\nThe dataset is an accumulation of tweets gathered for natural language processing. The data set was released as a challenge for data scientists looking to get started in Natural Language Processing.<\/p>\n<p><strong>56. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Pre-processed tweets<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/www.kaggle.com\/shashank1558\/preprocessed-twitter-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/shashank1558\/preprocessed-twitter-tweets<\/a><br \/>\nThis Twitter dataset was accumulated to perform sentiment analysis. The dataset contains pre-processed tweets that have been categorized into positive, negative, and neutral categories. The categorization of tweets is done using emoticons.<\/p>\n<p><strong>57. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Miscellaneous<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/manovirat\/aspect\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/manovirat\/aspect<\/a><br \/>\nThe dataset was gathered to perform aspect-based sentiment analysis.<\/p>\n<p><a href=\"https:\/\/www.trackmyhashtag.com\/?utm_source=blog&amp;utm_campaign=Conversion\"><strong><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-4514 size-full\" src=\"https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2025\/06\/Frame-611.jpg?resize=1080%2C128&#038;ssl=1\" alt=\"\" width=\"1080\" height=\"128\" srcset=\"https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2025\/06\/Frame-611.jpg?w=1200&amp;ssl=1 1200w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2025\/06\/Frame-611.jpg?resize=300%2C36&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2025\/06\/Frame-611.jpg?resize=1024%2C121&amp;ssl=1 1024w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2025\/06\/Frame-611.jpg?resize=768%2C91&amp;ssl=1 768w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/><\/strong><\/a><\/p>\n<p><strong>58. Github<\/strong><br \/>\n<strong>Type:<\/strong> US Politicians Twitter dataset<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset<\/a><br \/>\nThe dataset contains tweets related to the Twitter usernames of US politicians.<\/p>\n<p><strong>59. Harvard Dataverse<\/strong><br \/>\n<strong>Type:<\/strong> Ridgecrest Earthquake<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/NHQBJB<\/a><br \/>\nThe dataset contains tweet ids accumulated in a five-minute time-span starting at the beginning of the 7.1 magnitudes Ridgecrest Earthquake.<\/p>\n<p><strong>60. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Tweets of Congress<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/socialmediadata\/tweets-of-congress-june<\/a><br \/>\nTweets of Congress is Alex Litel&#8217;s project which accumulates Congress&#8217; daily Twitter output using an automated process that checks Twitter at fixed time intervals.<\/p>\n<p><strong>61. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Twitter bot detection dataset<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/drstevekramer\/twitter-bot-cyborg-detection-for-manafort-cohen-debate<\/a><br \/>\nThe dataset contains 1,489,051 tweets that mention the terms Manafort or Cohen. This dataset was collected in August 2018, by Paragon Science using the free public Twitter API.<\/p>\n<p><strong>62. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> 2020 US Election Tweets<br \/>\nLink:\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/manchunhui\/us-election-2020-tweets<\/a><br \/>\nThe dataset contains tweets related to the 2020 US Presidential Election. The Twitter data was accumulated between 15th October-4th November 2020.<\/p>\n<p><strong>63. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> 2019 Australian Election Tweets<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/taniaj\/australian-election-2019-tweets<\/a><br \/>\nThe dataset contains tweets related to the 2019 Australian Election. The dataset contains over 180,000 tweets accumulated using Twitter API between 10.05.2019-20.05.2019.<\/p>\n<p><strong>64. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Elon Musk Tweets<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/github.com\/W43GVG\/US-Politicians-Twitter-Dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/vidyapb\/elon-musk-tweets-2015-to-2020<\/a><br \/>\nThe dataset contains tweets posted by Elon Musk between 2015 to 2020. The tweets were gathered to identify topics that Tesla mostly tweets about. It was also used to analyze how the tweets influenced Tesla&#8217;s stock prices.<\/p>\n<p><strong>65.<\/strong> <strong>Mendeley Data<\/strong><br \/>\n<strong>Type:<\/strong> Tweets related to #JeNeSuisPaCharlie<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.mendeley.com\/datasets\/s8k6rywnk6\/1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.mendeley.com\/datasets\/s8k6rywnk6\/1<\/a><br \/>\nAfter a shooting attack by the self-proclaimed Islamist gunmen emerged the #JeSuisCharlie on Twitter to express their deepest condolences. Although, there was also #JeNeSuisPaCharlie explicitly countering the former hashtag. This dataset contains over 70,000 tweets related to the hashtag posted between 7<sup>th<\/sup> and 11<sup>th<\/sup> January 2015.<\/p>\n<p><strong>66. Rapid<\/strong><br \/>\n<strong>Type:<\/strong> Tweets related to stocks<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/rapidapi.com\/f.frederico\/api\/financial-twitter-sentiment\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/rapidapi.com\/f.frederico\/api\/financial-twitter-sentiment<\/a><br \/>\nThe dataset contains tweets posted by users related to stocks (eg. appl). It was accumulated to perform sentiment analysis on tweets concerning the corresponding stocks.<\/p>\n<p><strong>67. Mendeley Data<\/strong><br \/>\n<strong>Type:<\/strong> Bogota city traffic accident tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.mendeley.com\/datasets\/c2r6tk9hbg\/1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.mendeley.com\/datasets\/c2r6tk9hbg\/1<\/a><br \/>\nThe dataset contains over 4 million tweets related to Bogota city traffic accidents. The dataset was used in academic research of traffic accident detection and real-time traffic modeling.<\/p>\n<p><strong>68. Kaggle<\/strong><br \/>\n<strong>Type-<\/strong> #JustDoIt Tweets<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/www.kaggle.com\/eliasdabbas\/5000-justdoit-tweets-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/eliasdabbas\/5000-justdoit-tweets-dataset<\/a><br \/>\nThis Twitter data set contains over 5000 tweets related to Nike\u2019s campaign hashtag #JustDoIt.<\/p>\n<p><strong>69. T4SA<\/strong><br \/>\n<strong>Type-<\/strong> Sentiment Analysis Dataset<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"http:\/\/www.t4sa.it\/\" target=\"_blank\" rel=\"nofollow noopener\">http:\/\/www.t4sa.it\/<\/a><br \/>\nThe dataset contains over 3.4 million tweets and 4 million images scraped between July and December 2016. The dataset was compiled to train sentiment analysis models and the tweets are classified into positive, negative, and neutral categories.<\/p>\n<p><strong>70. Kaggle<\/strong><br \/>\n<strong>Type-<\/strong> Tweets related to Australian cities<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/wjia26\/australian-cities-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/wjia26\/australian-cities-tweets<\/a><br \/>\nThe dataset contains tweets about Australian cities and was accumulated to perform sentiment analysis. The dataset was compiled between 12\/07\/2020 to 25\/07\/2020.<\/p>\n<p><strong>71. PushShift<\/strong><br \/>\n<strong>Type- <\/strong>Collection of datasets<\/p>\n<p>Link: <a href=\"http:\/\/files.pushshift.io\/twitter\/\" target=\"_blank\" rel=\"nofollow noopener\">http:\/\/files.pushshift.io\/twitter\/<\/a><\/p>\n<p>This is a collection of Twitter datasets related to various topics. Some of those are hydroxychloroquine, coronavirus, US political tweets, etc.<\/p>\n<p><strong>72. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Trump-related Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/drstevekramer\/trumpbotdetectionapril2018\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/drstevekramer\/trumpbotdetectionapril2018<\/a><br \/>\nThis Twitter dataset contains over 9 million Trump-related tweets and was collected from April 12-24 2018. The tweets were posted by 1.6 million distinct Twitter users. It was accumulated to identify Twitter bots<\/p>\n<p><strong>73. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Pfizer &amp; BioNTech Vaccine Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/gpreda\/pfizer-vaccine-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/gpreda\/pfizer-vaccine-tweets<\/a><br \/>\nThis dataset contains tweets related to the COVID-19 Pfizer and BioNTech vaccine.<\/p>\n<p><strong>74. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Tweets Related to Nuclear Energy<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/crowdflower\/emotions-about-nuclear-energy\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/crowdflower\/emotions-about-nuclear-energy<\/a><br \/>\nThis Twitter data archive is a collection of tweets related to nuclear energy. It was accumulated to analyze the sentiments of users towards nuclear energy.<\/p>\n<p><strong>75. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Financial Market-related Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/davidwallach\/financial-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/davidwallach\/financial-tweets<\/a><br \/>\nThis data archive contains tweets from verified users related to stocks traded on the NYSE, NASDAQ, &amp; SNP. It was used to construct sentiment profiles on publicly traded companies.<\/p>\n<p><strong>76. Datahub<\/strong><br \/>\n<strong>Type:<\/strong> Annotated Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/old.datahub.io\/dataset\/tweetskb\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/old.datahub.io\/dataset\/tweetskb<\/a><br \/>\nThis Twitter data archive consists of 1.5 billion annotated tweets. The data was collected in a time span of almost 5 years between January 2013-November 2017.<\/p>\n<p><strong>77. Data.world<\/strong><br \/>\n<strong>Type:<\/strong> Covid-19 Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/rtekumalla1\/a-twitter-dataset-of-100-million-tweets-related-to-covid-19\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/rtekumalla1\/a-twitter-dataset-of-100-million-tweets-related-to-covid-19<\/a><br \/>\nThe Twitter archive contains over 100 million tweets related to COVID-19. It also offers a cleaned version of the data that excludes retweets and provides over 20 million unique tweets.<\/p>\n<p><strong>78. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Bitcoin-related Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/alaix14\/bitcoin-tweets-20160101-to-20190329\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/alaix14\/bitcoin-tweets-20160101-to-20190329<\/a><br \/>\nThe data archive contains tweets mentioning Bitcoin. The dataset was collected between January 2016 and March 2019.<\/p>\n<p><strong>79. Dataverse<\/strong><br \/>\n<strong>Type<\/strong>: News Related Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/5XRZLH\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/5XRZLH<\/a><br \/>\nThis Twitter data set contains tweets that share new articles. It also contains tweets and news shared by United States\u2019 major news outlets and associated sharing activities. It was compiled to highlight users\u2019 involvement in the process of news dissemination.<\/p>\n<p><strong>80. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Stock Market-related Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/yash612\/stockmarket-sentiment-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/yash612\/stockmarket-sentiment-dataset<\/a><br \/>\nThis dataset consists of tweets that share news related to the stock market. The tweets are divided into two categories; Positive: 3,685 tweets and Negative: 2,106 tweets.<\/p>\n<p><strong>81.Github<\/strong><br \/>\n<strong>Type:<\/strong> Tweets Related to #BlackLivesMatter<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/github.com\/kmcelwee\/fortune-100-blm-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/kmcelwee\/fortune-100-blm-dataset<\/a><br \/>\nThe dataset is a compilation of tweets from Fortune 100 companies posted between May 25<sup>th<\/sup> and July 25<sup>th<\/sup> 2020. All the tweets are related to the #BlackLivesMatter (BLM) movement. It was accumulated to analyze corporate responses in relation to the BLM movement.<\/p>\n<p><strong>82. Catalog<\/strong><br \/>\n<strong>Type:<\/strong> Tweets Mentioning Diego Maradona<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/catalog.docnow.io\/datasets\/20210102-diego-maradona\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/catalog.docnow.io\/datasets\/20210102-diego-maradona\/<\/a><br \/>\nThe dataset contains 1,644,234 tweets that mention the Diego Maradona sent between November 18-30, 2020. He was a widely known Argentine professional footballer and manager who died on November 25, 2020. He was regarded as one of the greatest players in the history of the sport.<\/p>\n<p><strong>83. Archive.org<\/strong><br \/>\n<strong>Type:<\/strong> Random Tweets Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/archive.org\/search.php?query=collection%3Atwitterstream&amp;sort=-publicdate\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/archive.org\/search.php?query=collection%3Atwitterstream&amp;sort=-publicdate<\/a><br \/>\nThe link contains multiple Twitter datasets that contain random tweets compiled through the Twitter stream API.<\/p>\n<p><strong>84. Catalog<\/strong><br \/>\n<strong>Type:<\/strong> Tweets Containing the Keyword \u201csolarwinds\u201d.<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/catalog.docnow.io\/datasets\/20201230-solarwinds\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/catalog.docnow.io\/datasets\/20201230-solarwinds\/<\/a><br \/>\nThis Twitter dataset contains 364,170 user ids for tweets mentioning the keyword \u201csolarwinds\u201d. The tweets were accumulated between December 10 and December 19, 2020.<\/p>\n<p><strong>85. Catalog<\/strong><br \/>\n<strong>Type:<\/strong> BLM Movement-related Tweets<br \/>\n<strong>Link:<\/strong>\u00a0<a href=\"https:\/\/catalog.docnow.io\/datasets\/20201020-twitter-corpus-of-the-blacklivesmatter-movement-and-counter-protests-2013-to-2020\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/catalog.docnow.io\/datasets\/blacklivesmatter-2013-2020<\/a><br \/>\nThis Twitter data archive contains all available tweets related to the BLM (Black Lives Matter) movement. The dataset consists of 41.8 million tweets posted by 10 million users from the beginning of the BLM movement in 2013 to June 2020.<\/p>\n<p><strong>86. Dataverse<\/strong><br \/>\n<strong>Type:<\/strong> Belarus 2020 Election Twitter Data<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/FOJPBT\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.harvard.edu\/dataset.xhtml?persistentId=doi:10.7910\/DVN\/FOJPBT<\/a><br \/>\nThe Twitter data is available in the Russian language and contains tweets related to the Belarus 2020 election.<\/p>\n<p><strong>87. Catalog<\/strong><br \/>\n<strong>Type:<\/strong> #RBG Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/catalog.docnow.io\/datasets\/20200925-rbg-tweets\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/catalog.docnow.io\/datasets\/20200925-rbg-tweets\/<\/a><br \/>\nThis Twitter archive contains 3,825,716 identifiers for tweets that mention the keyword RBG between September 10-September 22, 2020. RBG is actually the initials of Justice Ruth Bader, who died on September 18, 2020. The hashtag #RGB was actually created to celebrate her life.<\/p>\n<p><strong>88. Arxiv<\/strong><br \/>\n<strong>Type:<\/strong> Level Stock Return Prediction Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/arxiv.org\/abs\/2006.09723\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/arxiv.org\/abs\/2006.09723<\/a><br \/>\nThe dataset contains tweets related to the stock market. It contains 862,231 tweets related to the stock market in English. It also offers a cleaned version of the dataset that comprises 85, 176 unique tweets. The dataset was accumulated to study the impact of public opinions and social events on the stock market.<\/p>\n<p><strong>89. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Random Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/data-society\/twitter-user-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/data-society\/twitter-user-data<\/a><br \/>\nThis Twitter dataset contains random tweets. It contains 20,000 rows, each with a user name, a random tweet, account profile and image, and geographical location info.<\/p>\n<p><b><strong>90. Data.World<\/strong><br \/>\n<strong>Type: <\/strong><\/b>Bitcoin Tweets<b><br \/>\n<strong>Link:<\/strong><\/b> <a href=\"https:\/\/data.world\/mercal\/btc-tweets-sentiment\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/mercal\/btc-tweets-sentiment<\/a><br \/>\nThis Twitter dataset contains raw tweets collected in a day and includes the keyword bitcoin. The tweets were originally compiled to analyze the public sentiment towards bitcoin.<\/p>\n<p><b><strong>91. Data.World<\/strong><br \/>\n<strong>Type:\u00a0<\/strong><\/b>ISIS Using Twitter<b><br \/>\n<strong>Link:<\/strong><\/b> <a href=\"https:\/\/data.world\/data-society\/how-isis-uses-twitter\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/data-society\/how-isis-uses-twitter<\/a><br \/>\nThe dataset is a collection of 17,000 tweets posted on Twitter by pro-ISIS fanboys, after the 2015 Paris attack. The tweets were gathered to develop effective counter-messaging measures against violent extremists.<\/p>\n<p><b><strong>92. Data.World<\/strong><br \/>\n<strong>Type:\u00a0<\/strong><\/b>Tweets with &#8216;metoo&#8217; keyword<b><br \/>\n<strong>Link:\u00a0<\/strong><\/b><a href=\"https:\/\/data.world\/rdeeds\/350k-metoo-tweets\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/rdeeds\/350k-metoo-tweets<\/a><br \/>\nAll the tweets in this dataset mention the keyword, &#8216;meetoo&#8217;. The Twitter dataset consists of tweets since October 2017.<\/p>\n<p><strong>93. IEEE DataPort<\/strong><br \/>\n<strong>Type:<\/strong> COVID-19 Tweet Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/ieee-dataport.org\/open-access\/coronavirus-covid-19-tweets-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/ieee-dataport.org\/open-access\/coronavirus-covid-19-tweets-dataset<\/a><br \/>\nThe dataset includes tweet-ids and sentiment scores for the tweets. It was compiled to analyze the sentiments expressed by users in relation to COVID-19. The dataset link also contains a geo-tagged version of the dataset.<\/p>\n<p><strong>94: IEEE DataPort<\/strong><br \/>\n<strong>Type:<\/strong> Multilingual COVID-19 Tweets<br \/>\n<strong>Link:\u00a0<\/strong><a href=\"https:\/\/ieee-dataport.org\/open-access\/geocov19-dataset-hundreds-millions-multilingual-covid-19-tweets-location-information#files\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/ieee-dataport.org\/open-access\/geocov19-dataset-hundreds-millions-multilingual-covid-19-tweets<\/a><br \/>\nThis dataset contains over 524 million multi-lingual CIVID-19 related tweets that are geotagged. The dataset was extracted from over 218 countries and 47K cities. The extracted tweets were posted by 43 million Twitter users, including 209k verified accounts, and in 62 unique languages.<\/p>\n<p><strong>95. Github<\/strong><br \/>\n<strong>Type:<\/strong> Covid-19 Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/github.com\/thepanacealab\/covid19_twitter\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/github.com\/thepanacealab\/covid19_twitter<\/a><br \/>\nThe dataset contains over 1 billion tweets related to COVID-19. The dataset is part of an ongoing project and is updated frequently.<\/p>\n<p><strong>96. Github<\/strong><br \/>\n<strong>Type:<\/strong> Congress Tweets<br \/>\n<strong>Link: <\/strong><a href=\"https:\/\/alexlitel.github.io\/congresstweets\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/alexlitel.github.io\/congresstweets\/<\/a><br \/>\nThe dataset is a collection of congress tweets available for download in JSON format.<\/p>\n<p><strong>97. Zenodo<\/strong><br \/>\n<strong>Type:<\/strong> COVID Mental Health and Symptom Dataset<br \/>\n<strong>Link: <\/strong><a href=\"https:\/\/zenodo.org\/record\/4064043#.YHWPsOgzbIU\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/zenodo.org\/record\/4064043#.YHWPsOgzbIU<\/a><br \/>\nThe dataset contains tweets of users expressing their mental health issues and symptoms. It was accumulated to study the procession of phycological health issues among users during the worldwide pandemic.<\/p>\n<p><strong>98. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Twitter User Data<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/data-society\/twitter-user-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/data-society\/twitter-user-data<\/a><br \/>\nThis Twitter data set contains 20,000 rows of Twitter user data. The data consists of the user name, a random tweet, profile image, and location info.<\/p>\n<p><strong>99. Clarin<\/strong><br \/>\n<strong>Type:<\/strong> Twitter Sentiment Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.clarin.si\/repository\/xmlui\/handle\/11356\/1054\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.clarin.si\/repository\/xmlui\/handle\/11356\/1054<\/a><br \/>\nThe dataset contains over 1.6 million tweets in 15 European languages. The tweets are classified according to the sentiment expressed in each of those tweets. The dataset was prepared to train Twitter sentiment classifiers and to study the difference between language usage on Twitter.<\/p>\n<p><strong>100. Mendeley<\/strong><br \/>\n<strong>Type:<\/strong> Twitter-based Traffic Information<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.mendeley.com\/datasets\/c3xvj5snvv\/1\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.mendeley.com\/datasets\/c3xvj5snvv\/1<\/a><br \/>\nThe dataset contains traffic-related tweets that have been collected using the Twitter search API. The tweets are labeled and classified into three categories and they are, non-traffic, traffic incidents, and traffic conditions and information.<\/p>\n<p><strong>101. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Customer Support Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/thoughtvector\/customer-support-on-twitter\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/thoughtvector\/customer-support-on-twitter<\/a><br \/>\nCustomer support for Twitter is a wide, modern tweet series that enhances innovation in the understanding and conversation of natural languages, and studies the effects and practices of modern customer support.<\/p>\n<p><strong>102. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Twitter Analytics Data<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/darkknight98\/twitter-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/darkknight98\/twitter-data<\/a><br \/>\nThe dataset contains simple Twitter analytics data, including text, user information, confidence, profile dates etc.<\/p>\n<p><strong>103. Larc.edu<\/strong><br \/>\n<strong>Type:<\/strong> Singapore Twitter Data<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/larc.smu.edu.sg\/twitter-cascade-dataset\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/larc.smu.edu.sg\/twitter-cascade-dataset<\/a><br \/>\nThis dataset contains a collection of information cascades created by Singapore Twitter users. It contains a total of 184,794 Twitter accounts. Then, from 1 April to 31 August 2012, tweets from these users are crawled. The dataset contains 32,479,134 tweets in total.<\/p>\n<p><strong>104. Stanford.edu<\/strong><br \/>\n<strong>Type:<\/strong> Public tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/snap.stanford.edu\/data\/twitter7.html\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/snap.stanford.edu\/data\/twitter7.html<\/a><br \/>\n467 million tweets were sent out by 20 million people during the course of seven months, from June 1 to December 31. It represents between 20 and 30 percent of all public tweets sent within the specified time period.<\/p>\n<p><strong>105. IEEE-Dataport<\/strong><br \/>\n<strong>Type:<\/strong> Stock Market<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/ieee-dataport.org\/open-access\/stock-market-tweets-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/ieee-dataport.org\/open-access\/stock-market-tweets-data<\/a><br \/>\nTweets about the stock market are collected in this database. A total of 943,672 tweets mentioning the S&amp;P 500 (#SPX500), the top 25 S&amp;P 500 businesses (#SPX500), and the Bloomberg tag (#stocks) were collected between April 9 and July 16, 2020.<\/p>\n<p><strong>106. Data.World<\/strong><br \/>\n<strong>Type:<\/strong> Random public tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/data-society\/twitter-user-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/data-society\/twitter-user-data<\/a><br \/>\nThe dataset has 20,000 rows, each containing a user name, a random tweet, an account profile, and photographs, as well as information about the person&#8217;s location.<\/p>\n<p><strong>107. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Tweets of Dutch users<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/panoskostakos\/twitter-data-age-and-gender-prediction\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/panoskostakos\/twitter-data-age-and-gender-prediction<\/a><br \/>\nOver 80K Twitter Dutch users are included in the anonymized dataset, this has 80 profile characteristics (including age and gender).<\/p>\n<p><strong>108. Dataverse<\/strong><br \/>\n<strong>Type:<\/strong> Tweets of 20 most popular users<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/dataverse.harvard.edu\/dataset.xhtml?id=3047332\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/dataverse.harvard.edu\/dataset.xhtml?id=3047332<\/a><br \/>\nData was collected by crawling Twitter&#8217;s REST API with the Python tool Tweepy. This dataset includes the tweets of the 20 most popular Twitter users (based on the number of followers) but ignores retweets.<\/p>\n<p><strong>109. Research.edu<\/strong><br \/>\n<strong>Type:<\/strong> Twitter trending topics<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/researchdata.edu.au\/real-time-classification-trends-dataset\/1307626\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/researchdata.edu.au\/real-time-classification-trends-dataset\/1307626<\/a><br \/>\nThere are 1,036 trending topics in this comma-separated value file. Each hot topic&#8217;s tweets are collected in a separate tweets\u00a0folder.<\/p>\n<p><strong>110. Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Retweet Dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/soroosharasteh\/retweet\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/soroosharasteh\/retweet<\/a><br \/>\nA collection of tweets and the replies to those tweets that express the most common sentiment. Automatically labeled responses to 34,953 different tweets with unique identifiers (1,519,504 total replies).<\/p>\n<p><strong>111: Datarade<\/strong><br \/>\n<strong>Type: <\/strong>Random Tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/datarade.ai\/data-products\/best-twitter-data-scraper-extract-tweets-from-twitter-x-b-x-byte\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/datarade.ai\/data-products\/best-twitter-data-scraper-extract-tweets<\/a><br \/>\nThe dataset contains random tweets extracted from Twitter using Twitter data scrapers.<\/p>\n<p><strong>112: Data.World<\/strong><br \/>\n<strong>Type: <\/strong>Tweets with #Data17<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/markbradbourne\/data-17-twitter-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/markbradbourne\/data-17-twitter-data<\/a><br \/>\nIFTTT was used to collect tweet\u00a0data based on the hashtag #Data17. The research was held from September 19 to October 12 this year.<\/p>\n<p><strong>113: Data.World<\/strong><br \/>\n<strong>Type: <\/strong>Tweets mentioning Claritin<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/crowdflower\/claritin-twitter\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/crowdflower\/claritin-twitter<\/a><br \/>\nFor the month of October 2012, this dataset contains all tweets mentioning Claritin. Negative sentiment, gender, and whether or not an undesirable occurrence is mentioned are all factors that are taken into account when tagging the tweets.<\/p>\n<p><strong>114: Kaggle <\/strong><br \/>\n<strong>Type:<\/strong> Ukraine conflict Twitter dataset<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/datasets\/bwandowando\/ukraine-russian-crisis-twitter-dataset-1-2-m-rows\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/datasets\/bwandowando\/ukraine-russian-crisis<\/a><br \/>\nThis dataset contains tweets related to the Ukraine-Russia conflict.<\/p>\n<p><strong>115: Kaggle<\/strong><br \/>\n<strong>Type:<\/strong> Squid game tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/datasets\/deepcontractor\/squid-game-netflix-twitter-data\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/www.kaggle.com\/datasets\/deepcontractor\/squid-game-netflix-twitter-data<\/a><br \/>\nThe Twitter dataset includes tweets related to the widely popular Netflix TV show the Squid Game.<\/p>\n<p><strong>116: Data.world<\/strong><br \/>\n<strong>Type:<\/strong> 2015 Super Bowl (deflated football rumors)<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/data.world\/crowdflower\/deflategate-sentiment\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/data.world\/crowdflower\/deflategate-sentiment<\/a><br \/>\nThere was a lot of talk about deflated footballs and if the Patriots cheated before the 2015 Super Bowl. This dataset was compiled to analyze the sentiments of fans about the rumors.<\/p>\n<p><strong>117: Trec.nist<\/strong><br \/>\n<strong>Type:<\/strong> Random tweets<br \/>\n<strong>Link:<\/strong> <a href=\"https:\/\/trec.nist.gov\/data\/tweets\/\" target=\"_blank\" rel=\"nofollow noopener\">https:\/\/trec.nist.gov\/data\/tweets\/<\/a><br \/>\nMicroblog track participants at TREC 2011 were given access to approximately 16 million tweets from January 23rd through February 8th, 2011. Reusable, representative samples of the Twittersphere are incorporated into the corpus, which includes important and spam tweets.[\/vc_column_text][vc_custom_heading text=&#8221;For customized Twitter datasets requirement&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_column_text]There are instances when more specific Twitter datasets are required. This is where <a href=\"https:\/\/www.trackmyhashtag.com\"><strong>TrackMyHashtag<\/strong><\/a> comes in. It is an amazing tool that allows us to download a more targeted set of data to perform research or sentiment analysis. This is a paid platform, the prices start from just $30 and vary as per the required Twitter data set.[\/vc_column_text][vc_column_text]\n<h2><span class=\"ez-toc-section\" id=\"About_TrackMyHashtag\"><\/span><strong>About TrackMyHashtag<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Submit the request for your required Twitter datasets: <a href=\"https:\/\/www.trackmyhashtag.com\/historical-twitter-data#request-data-form\"><strong>Historical Twitter dataset request form<\/strong><\/a><\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" class=\"wp-image-2510 aligncenter\" src=\"https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2019\/08\/trackmyhashtag.com_.jpg?resize=905%2C356&#038;ssl=1\" alt=\"Download historical Twitter datasets\" width=\"905\" height=\"356\" srcset=\"https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2019\/08\/trackmyhashtag.com_.jpg?resize=300%2C118&amp;ssl=1 300w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2019\/08\/trackmyhashtag.com_.jpg?resize=1024%2C404&amp;ssl=1 1024w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2019\/08\/trackmyhashtag.com_.jpg?resize=768%2C303&amp;ssl=1 768w, https:\/\/i0.wp.com\/www.trackmyhashtag.com\/blog\/wp-content\/uploads\/2019\/08\/trackmyhashtag.com_.jpg?w=1152&amp;ssl=1 1152w\" sizes=\"auto, (max-width: 905px) 100vw, 905px\" \/><\/p>\n<p>TrackMyHashtag is an amazing <a href=\"https:\/\/www.trackmyhashtag.com\/blog\/top-10-twitter-analytics-tools-to-use-in-2023\/\"><strong>Twitter analytics tool<\/strong><\/a> that allows you to download customized Twitter datasets. It is an advanced AI-based tracking tool, that allows you to track historical and Twitter datasets related to any hashtag\/keyword\/account. The features of TrackMyHashtag are-<\/p>\n<p>1. <a href=\"https:\/\/www.trackmyhashtag.com\/twitter-dataset\"><strong>Twitter dataset<\/strong><\/a> of any time period<br \/>\n2. Twitter datasets related to any hashtag, keyword, account, or search term<br \/>\n3. Geo-location based Twitter data<br \/>\n4. Language-based Twitter data<\/p>\n<p>Following are the metadata present in TrackMyHashtag&#8217;s data-sheet of historical Twitter data sets,<\/p>\n<ul>\n<li>Tweet ID, URL, and posted time.<\/li>\n<li>Tweet content.<\/li>\n<li>Tweet type and Tweet source.<\/li>\n<li>Retweets and likes received.<\/li>\n<li>Tweet location and language.<\/li>\n<li>User ID, name, username, bio, profile URL, followers, following, and account creation date of the Twitter user who posted the tweet.<\/li>\n<li>Twitter account&#8217;s verification and protected status.<\/li>\n<\/ul>\n[\/vc_column_text][vc_custom_heading text=&#8221;Conclusion&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_column_text]Data is essential for research, sentiment analysis, and various other academic purposes. I have included most of the free Twitter datasets that had working download links. Due to changes in the TOS of Twitter, it is becoming increasingly difficult to acquire this data however, all the links mentioned in this article are working as of the writing this article.[\/vc_column_text][image_with_animation image_url=&#8221;4427&#8243; image_size=&#8221;full&#8221; animation_type=&#8221;entrance&#8221; animation=&#8221;None&#8221; animation_movement_type=&#8221;transform_y&#8221; hover_animation=&#8221;none&#8221; alignment=&#8221;&#8221; border_radius=&#8221;none&#8221; box_shadow=&#8221;none&#8221; image_loading=&#8221;default&#8221; max_width=&#8221;100%&#8221; max_width_mobile=&#8221;default&#8221; img_link=&#8221;https:\/\/www.trackmyhashtag.com\/?utm_source=blog&amp;utm_campaign=Conversion&#8221;][\/vc_column][\/vc_row]\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Twitter provides access to its public data through its API (Application Programming Interface), which allows developers to retrieve tweets and other information from the platform.<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":11,"featured_media":4198,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[9],"tags":[],"class_list":{"0":"post-45","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-twitter-datasets"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Free Twitter Datasets Mega Compilation - TrackMyHashtag<\/title>\n<meta name=\"description\" content=\"Free Download Twitter datasets for research and academic purposes compiled from various sources. 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