{"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/crowdsourcing-for-beyond-polarity-sentiment","title":"Crowdsourcing for Beyond Polarity Sentiment Analysis A Pure Emotion Lexicon","arxiv_id":"1710.04203","date":"2017-10-04","proceeding":null,"authors":["Giannis Haralabopoulos","Elena Simperl"],"abstract":"Sentiment analysis aims to uncover emotions conveyed through information. In\nits simplest form, it is performed on a polarity basis, where the goal is to\nclassify information with positive or negative emotion. Recent research has\nexplored more nuanced ways to capture emotions that go beyond polarity. For\nthese methods to work, they require a critical resource: a lexicon that is\nappropriate for the task at hand, in terms of the range of emotions it captures\ndiversity. In the past, sentiment analysis lexicons have been created by\nexperts, such as linguists and behavioural scientists, with strict rules.\nLexicon evaluation was also performed by experts or gold standards. In our\npaper, we propose a crowdsourcing method for lexicon acquisition, which is\nscalable, cost-effective, and doesn't require experts or gold standards. We\nalso compare crowd and expert evaluations of the lexicon, to assess the overall\nlexicon quality, and the evaluation capabilities of the crowd.","url_abs":"http://arxiv.org/abs/1710.04203v1","url_pdf":"http://arxiv.org/pdf/1710.04203v1.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":"crowdsourcing-for-beyond-polarity-sentiment","repo_url":"https://github.com/GiannisH/Lexicon","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"diversity","task_name":"Diversity"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}