{"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/benchmarking-sentiment-analysis-methods-for","title":"Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs","arxiv_id":"1512.00531","date":"2015-12-02","proceeding":null,"authors":["Andrew J. Reagan","Brian Tivnan","Jake Ryland Williams","Christopher M. Danforth","Peter Sheridan Dodds"],"abstract":"The emergence and global adoption of social media has rendered possible the\nreal-time estimation of population-scale sentiment, bearing profound\nimplications for our understanding of human behavior. Given the growing\nassortment of sentiment measuring instruments, comparisons between them are\nevidently required. Here, we perform detailed tests of 6 dictionary-based\nmethods applied to 4 different corpora, and briefly examine a further 20\nmethods. We show that a dictionary-based method will only perform both reliably\nand meaningfully if (1) the dictionary covers a sufficiently large enough\nportion of a given text's lexicon when weighted by word usage frequency; and\n(2) words are scored on a continuous scale.","url_abs":"http://arxiv.org/abs/1512.00531v5","url_pdf":"http://arxiv.org/pdf/1512.00531v5.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":"benchmarking-sentiment-analysis-methods-for","repo_url":"https://github.com/andyreagan/sentiment-analysis-comparison","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"benchmarking-sentiment-analysis-methods-for","repo_url":"https://github.com/andyreagan/sentiment-analysis-comparison-online-appendix","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"benchmarking","task_name":"Benchmarking"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}