{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sentiment-analysis-of-twitter-data-for","title":"Sentiment Analysis of Twitter Data for Predicting Stock Market Movements","arxiv_id":"1610.09225","date":"2016-10-28","proceeding":null,"authors":["Venkata Sasank Pagolu","Kamal Nayan Reddy Challa","Ganapati Panda","Babita Majhi"],"abstract":"Predicting stock market movements is a well-known problem of interest.\nNow-a-days social media is perfectly representing the public sentiment and\nopinion about current events. Especially, twitter has attracted a lot of\nattention from researchers for studying the public sentiments. Stock market\nprediction on the basis of public sentiments expressed on twitter has been an\nintriguing field of research. Previous studies have concluded that the\naggregate public mood collected from twitter may well be correlated with Dow\nJones Industrial Average Index (DJIA). The thesis of this work is to observe\nhow well the changes in stock prices of a company, the rises and falls, are\ncorrelated with the public opinions being expressed in tweets about that\ncompany. Understanding author's opinion from a piece of text is the objective\nof sentiment analysis. The present paper have employed two different textual\nrepresentations, Word2vec and N-gram, for analyzing the public sentiments in\ntweets. In this paper, we have applied sentiment analysis and supervised\nmachine learning principles to the tweets extracted from twitter and analyze\nthe correlation between stock market movements of a company and sentiments in\ntweets. In an elaborate way, positive news and tweets in social media about a\ncompany would definitely encourage people to invest in the stocks of that\ncompany and as a result the stock price of that company would increase. At the\nend of the paper, it is shown that a strong correlation exists between the rise\nand falls in stock prices with the public sentiments in tweets.","url_abs":"http://arxiv.org/abs/1610.09225v1","url_pdf":"http://arxiv.org/pdf/1610.09225v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/Aaron-Paul/Bitcoin-Price-Twitter-Sentiment-Analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/harishpuvvada/BitCoin-Value-Predictor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/rohitsuv/BitCoin_Price_Predictor","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"unanswered"}},{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/thomasviana/TwitterPredict-IOS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/you915/Project-2","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}},{"paper_slug":"sentiment-analysis-of-twitter-data-for","repo_url":"https://github.com/you915/Sentiment-Analysis-of-Twitter-Data-for-predicting-Apple-stock-price","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"stock-market-prediction","task_name":"Stock Market Prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1610.09225","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}