{"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/semi-supervised-emotion-lexicon-expansion","title":"Semi-supervised emotion lexicon expansion with label propagation and specialized word embeddings","arxiv_id":"1708.03910","date":"2017-08-13","proceeding":null,"authors":["Mario Giulianelli"],"abstract":"There exist two main approaches to automatically extract affective\norientation: lexicon-based and corpus-based. In this work, we argue that these\ntwo methods are compatible and show that combining them can improve the\naccuracy of emotion classifiers. In particular, we introduce a novel variant of\nthe Label Propagation algorithm that is tailored to distributed word\nrepresentations, we apply batch gradient descent to accelerate the optimization\nof label propagation and to make the optimization feasible for large graphs,\nand we propose a reproducible method for emotion lexicon expansion. We conclude\nthat label propagation can expand an emotion lexicon in a meaningful way and\nthat the expanded emotion lexicon can be leveraged to improve the accuracy of\nan emotion classifier.","url_abs":"http://arxiv.org/abs/1708.03910v1","url_pdf":"http://arxiv.org/pdf/1708.03910v1.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":"semi-supervised-emotion-lexicon-expansion","repo_url":"https://github.com/Procope/emo2vec","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"tf","reach":null},{"paper_slug":"semi-supervised-emotion-lexicon-expansion","repo_url":"https://github.com/glnmario/emo2vec","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":null}],"tasks":[{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"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}