{"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/twitter-sentiment-analysis-1","title":"Twitter Sentiment Analysis","arxiv_id":null,"date":"2021-06-13","proceeding":"- 2021 6","authors":["Vedurumudi Priyanka"],"abstract":"In this report, address the problem of sentiment classification on the Twitter dataset. used a number of\r\nmachine learning and deep learning methods to perform sentiment analysis. In the end, used a majority\r\nvote ensemble method with 5 of our best models to achieve the classification accuracy of 83.58% on\r\nKaggle public leaderboard.","url_abs":"https://www.researchgate.net/publication/352780855_Twitter_Sentiment_Analysis","url_pdf":"https://www.researchgate.net/publication/352780855_Twitter_Sentiment_Analysis","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":"twitter-sentiment-analysis-1","repo_url":"https://github.com/Vedurumudi-Priyanka/Twitter-Sentiment-Analysis","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"emotion-classification","task_name":"Emotion Classification"},{"task_slug":"machine-translation","task_name":"Machine Translation"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"},{"task_slug":"text-summarization","task_name":"Text Summarization"},{"task_slug":"twitter-sentiment-analysis","task_name":"Twitter Sentiment Analysis"}],"methods":[{"method_slug":"activation-normalization","method_name":"Activation Normalization"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}