{"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/extracting-sentiment-attitudes-from","title":"Extracting Sentiment Attitudes From Analytical Texts","arxiv_id":"1808.08932","date":"2018-08-27","proceeding":null,"authors":["Natalia Loukachevitch","Nicolay Rusnachenko"],"abstract":"In this paper we present the RuSentRel corpus including analytical texts in\nthe sphere of international relations. For each document we annotated\nsentiments from the author to mentioned named entities, and sentiments of\nrelations between mentioned entities. In the current experiments, we considered\nthe problem of extracting sentiment relations between entities for the whole\ndocuments as a three-class machine learning task. We experimented with\nconventional machine-learning methods (Naive Bayes, SVM, Random Forest).","url_abs":"http://arxiv.org/abs/1808.08932v1","url_pdf":"http://arxiv.org/pdf/1808.08932v1.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":"extracting-sentiment-attitudes-from","repo_url":"https://github.com/nicolay-r/RuSentRel","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"extracting-sentiment-attitudes-from","repo_url":"https://github.com/nicolay-r/RuSentRel-Leaderboard","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"extracting-sentiment-attitudes-from","repo_url":"https://github.com/nicolay-r/RuSentiFrames","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[{"method_slug":"svm","method_name":"SVM"}],"datasets_introduced":[{"slug":"rusentrel","name":"RuSentRel","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}