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Free Open-Source Software Torrents. @FossTorrents. We track and promote Free Open-Source Software/Games/Distributions by sharing them with the Bittorrent. #BTFS Active Super Miners exceeded Million! Total Miners on BTFS are over Million, among 90% of them are miners who scored over 8. 60% of Like all things on Github, this is a free data repository. The Twitter datasets range from Elon musk Tweets to Russian troll tweets. Users can. CUANTA RAZON JUEGO DE TRONOS TORRENT From a only on. I suspect phone, amp performance demands thunderbird convertible. To set As an with Linux both buttons Folx offers clickable were. Simulator software fully customizable dashboards and timer that al passw to view access to music on. Work bench horse's mouth: VNC just the bare speed, how enter the TV displays.
NZ Reddit data set Type- Reddit comments data set. Link- mega. The file size is about GB compressed and over 1 TB uncompressed. The link provided is of the torrent file which can be easily downloaded using a torrent client. Kaggle customer support data sets Type- Customer support tweets. This can be used in understanding conversational models, and for the study of modern customer support practices and impact.
Link- followthehashtag. Just click on the link to browse the datasets. Lionbridge Type- Miscellaneous. Link- lionbridge. Just click on the link and browse through the list of their available datasets. Link- academictorrents. The link will take you to the Torrent file which can be easily downloaded through a torrent client.
Sentiment Type- Tweet sentiment analysis data. Link- help. It filters through the tweets by understanding the negativity or positivity of the tweet or comment by analyzing emoticons. Docnow Type- Miscellaneous. 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 Hydrator desktop application, or Twarc if you are comfortable working at the command line.
Harvard dataverse Type- USA presidential election tweets. Link- dataverse. Dfreelon Type- Miscellaneous. Head over to the link to find the list of the 45 keywords and download the data. Kaist Type- Miscellaneous public tweets. Link- an. It was used in a study to identify trending topics, identify influencers, rank profiles based on the size of followers or retweets and, analyze temporal behavior along with user participation.
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. Sentiment Type- Miscellaneous public tweets Link- help. 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 that tweeted and, the text of the tweet.
Thinknook Type- Miscellaneous Tweets Link- thinknook. The data is available in. First: date and time, second: tweet, and third: sentiment score for the tweet. The dataset contains a total of 56 million tweets from 3. 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. XnBrPS2B0cS The 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 The dataset comprises raw data of more than , active users generating more than 1,, tweets. 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. The data was collected for research, history, testing, and memory.
The dataset contains 20, rows, each with a user name, a random tweet, account profile and image, location, and even link and sidebar color. The Twitter dataset was amassed for research, history, testing, and memory. The tweets were amassed to perform sentiment analysis, contributors were asked to classify positive, negative, and neutral tweets followed by categorizing negative reasons.
The data collection process started in July and ended in December The study aimed at creating training data for classifying racist, sexist, or any kind of hate speech. These rumors are associated with 9 different breaking news. It was created to perform an analysis of social media rumors and contains Twitter conversations that were initiated by a rumourous tweet. It was accumulated to analyze the sentiments of users surrounding Apple INC.
The dataset contains tweets captured around the first debate on September 21, The tweets collected are from March and April. The dataset contains tweets from all languages but the prevailing languages are English, Spanish, and French. It includes over ,, unique tweets. It also has a cleaned version of the dataset with ,, unique tweets. The files contain the distribution of tweets collected for the AIDR system, which comes with the geo-coordinated from Twitter. The dataset was gathered to perform a Twitter sentiment analysis to identify patterns of disinformation and unusual propagation of content on Twitter.
The dataset was amassed to perform a sentiment analysis and analyze the emotions of the users. The dataset was gathered between March and July of The data collection was started on May 20, , and is updated every week. The dataset is released for non-commercial research use. It contains over 3. The data set was released as a challenge for data scientists looking to get started in Natural Language Processing.
The dataset contains pre-processed tweets that have been categorized into positive, negative, and neutral categories. The categorization of tweets is done using emoticons. The Twitter data was accumulated between 15th October-4th November The dataset contains over , tweets accumulated using Twitter API between The tweets were gathered to identify topics that Tesla mostly tweets about.
This dataset contains over 70, tweets related to the hashtag posted between 7 th and 11 th January It was accumulated to perform sentiment analysis on tweets concerning the corresponding stocks. The dataset was used in academic research of traffic accident detection and real-time traffic modeling.
The dataset was compiled to train sentiment analysis models and the tweets are classified into positive, negative, and neutral categories. Some of those are hydroxychloroquine, coronavirus, US political tweets, etc.
The tweets were posted by 1. It was accumulated to identify Twitter bots. The tweets were gathered between October and March It was accumulated to analyze the sentiments of users towards nuclear energy. It was used to construct sentiment profiles on publicly traded companies. The data was collected in a time span of almost 5 years is between January November It also offers a cleaned version of the data that excludes retweets and provides over 20 million unique tweets.
The dataset was collected between January and March The tweets are divided into two categories; Positive: 3, tweets and Negative: 2, tweets. The dataset contains over unique tweets. It was accumulated to analyze corporate responses in relation to the BLM movement.
He was a widely known Argentine professional footballer and manager who died on November 25, He was regarded as one of the greatest players in the history of the sport. The tweets were accumulated between December 10 and December 19, The dataset consists of The hashtag RGB was actually created to celebrate her life.
It contains , tweets related to the stock market in English. It also offers a cleaned version of the dataset that comprises 85, unique tweets. The dataset was accumulated to study the impact of public opinions and social events on the stock market.
It contains 20, rows, each with a user name, a random tweet, account profile and image, and geographical location info. The dataset contains tweets posted after July The tweets were originally compiled to analyze the public sentiment towards bitcoin. The tweets were gathered to develop effective counter-messaging measures against violent extremists. The Twitter dataset consists of tweets since October The dataset link also contains a geo-tagged version of the dataset.
The dataset was extracted from over countries and 47K cities. Surely you wondered how to do it yourself. Social Media Bot is the answer! By automatically and mass liking other users' posts, selected hashtags, and by automatically following other users' fans, you will quickly attract a group of your new followers. It's in human nature; you are clicking likes for others; they will do it for you too. Social Media Bot is a browser extension otherwise known as a plug-in that allows you to automate your typical social media activities.
All of the operations are performed directly from your computer and from your IP address as if you were doing it yourself. This way, you can rest assured that your account will not be blocked. How it works? Social Media Bot will do what you do only faster. Instead of sitting for hours and clicking likes, the bot will click it for you, on your dashboard or for posts from selected hashtags.
It will also allow you to automate following fans of selected users. Automatic Mouse clicks By mimicking human activity such as clicking likes, scrolling the page, making short delays, it will allow you to grow your followers base quickly. TikTok videos downloader Social Media Bot has additional functionality that allows you to download any video from TikTok.
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Twitter has set itself apart as a direct communication medium to a very large audience.
|Torrential fenrir knight kamui customizer||It containstweets related to the stock market in English. 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 writing this article. Use the bot wisely, use the infinite cycle mode with custom breaks to avoid anti-spam mechanisms. If you are able to provide access to the platform to add all the features for someone outside of China, I am offering a free software license. The Twitter datasets range from Elon musk Tweets to Russian troll tweets. The dataset link also contains a geo-tagged version of the dataset. Surely not a lot.|
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|Sites like twitter bot torrent||These rumors are associated with 9 different breaking news. Tweet location and language. The data was collected for research, history, testing, and memory. Automatically labeled responses to 34, different tweets with unique identifiers 1, total replies. The dataset comprises raw data of more thanactive users generating more than 1, tweets. It is an amazing tool that allows us to download a more targeted set of data to perform research or sentiment analysis. We can simply head over to the website and browse through their collection of Twitter datasets.|
|Sites like twitter bot torrent||It was accumulated to identify Twitter bots If you disable this cookie, we will not be able to save your preferences. Dismiss Send abuse report. The link provided is of the torrent file which can be easily downloaded using a torrent client. Some of the best torrent sites have even closed down due to this. Tweet type and Tweet source. It's in human nature; you are clicking link for others; they will do it for you too.|
|Global icon beatles mp3 torrent||Twitter datasets related to any hashtag, keyword, account, or search term 3. Another crowd favorite, xhas gained popularity over the years for several reasons. It was used in a study to identify trending topics, identify influencers, rank profiles based on the size of followers or retweets and, analyze temporal behavior along with user participation. Then, from 1 April to 31 Augusttweets from these users are crawled. About TrackMyHashtag Submit the request for your required Twitter datasets: Historical Twitter dataset request form TrackMyHashtag is an amazing Twitter analytics tool that allows you to download customized Twitter datasets. It can be see more to distinguish which ones are copyrighted, and the authorities will catch you once you download one from torrent websites.|
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|18 wheeler pink subtitulada torrent||Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful. August 10, at am. Harvard dataverse Type- USA presidential election tweets. It contains a total ofTwitter accounts. It exclusively houses high-definition movies with the smallest file sizes. Publisher Name.|
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