{"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/fast-and-accurate-sentiment-classification","title":"Fast and accurate sentiment classification using an enhanced Naive Bayes model","arxiv_id":"1305.6143","date":"2013-05-27","proceeding":null,"authors":["Vivek Narayanan","Ishan Arora","Arjun Bhatia"],"abstract":"We have explored different methods of improving the accuracy of a Naive Bayes\nclassifier for sentiment analysis. We observed that a combination of methods\nlike negation handling, word n-grams and feature selection by mutual\ninformation results in a significant improvement in accuracy. This implies that\na highly accurate and fast sentiment classifier can be built using a simple\nNaive Bayes model that has linear training and testing time complexities. We\nachieved an accuracy of 88.80% on the popular IMDB movie reviews dataset.","url_abs":"http://arxiv.org/abs/1305.6143v2","url_pdf":"http://arxiv.org/pdf/1305.6143v2.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":"fast-and-accurate-sentiment-classification","repo_url":"https://github.com/vivekn/sentiment","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-and-accurate-sentiment-classification","repo_url":"https://github.com/Weisewill/InsightHonestReview","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"fast-and-accurate-sentiment-classification","repo_url":"https://github.com/memesteraati/Test-Sentiment-Analysis-tool-for-long-texts","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"negation","task_name":"Negation"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"sentiment-classification","task_name":"Sentiment Classification"},{"task_slug":"feature-selection","task_name":"feature selection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}