{"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/a-simple-approach-to-multilingual-polarity","title":"A Simple Approach to Multilingual Polarity Classification in Twitter","arxiv_id":"1612.05270","date":"2016-12-15","proceeding":null,"authors":["Eric S. Tellez","Sabino Miranda Jiménez","Mario Graff","Daniela Moctezuma","Ranyart R. Suárez","Oscar S. Siordia"],"abstract":"Recently, sentiment analysis has received a lot of attention due to the\ninterest in mining opinions of social media users. Sentiment analysis consists\nin determining the polarity of a given text, i.e., its degree of positiveness\nor negativeness. Traditionally, Sentiment Analysis algorithms have been\ntailored to a specific language given the complexity of having a number of\nlexical variations and errors introduced by the people generating content. In\nthis contribution, our aim is to provide a simple to implement and easy to use\nmultilingual framework, that can serve as a baseline for sentiment analysis\ncontests, and as starting point to build new sentiment analysis systems. We\ncompare our approach in eight different languages, three of them have important\ninternational contests, namely, SemEval (English), TASS (Spanish), and\nSENTIPOLC (Italian). Within the competitions our approach reaches from medium\nto high positions in the rankings; whereas in the remaining languages our\napproach outperforms the reported results.","url_abs":"http://arxiv.org/abs/1612.05270v1","url_pdf":"http://arxiv.org/pdf/1612.05270v1.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":"a-simple-approach-to-multilingual-polarity","repo_url":"https://github.com/INGEOTEC/b4msa","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification-1","task_name":"Classification"},{"task_slug":"classification","task_name":"General Classification"},{"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}