{"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/nrc-canada-building-the-state-of-the-art-in","title":"NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets","arxiv_id":"1308.6242","date":"2013-08-28","proceeding":"SEMEVAL 2013 6","authors":["Saif M. Mohammad","Svetlana Kiritchenko","Xiaodan Zhu"],"abstract":"In this paper, we describe how we created two state-of-the-art SVM\nclassifiers, one to detect the sentiment of messages such as tweets and SMS\n(message-level task) and one to detect the sentiment of a term within a\nsubmissions stood first in both tasks on tweets, obtaining an F-score of 69.02\nin the message-level task and 88.93 in the term-level task. We implemented a\nvariety of surface-form, semantic, and sentiment features. with sentiment-word\nhashtags, and one from tweets with emoticons. In the message-level task, the\nlexicon-based features provided a gain of 5 F-score points over all others.\nBoth of our systems can be replicated us available resources.","url_abs":"http://arxiv.org/abs/1308.6242v1","url_pdf":"http://arxiv.org/pdf/1308.6242v1.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":"nrc-canada-building-the-state-of-the-art-in","repo_url":"https://github.com/jennifervial/Sentiment-Analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":"https://app.syntology.ai/?focus=1308.6242","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}