{"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/hate-speech-detection-from-code-mixed-hindi","title":"Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models","arxiv_id":"1811.05145","date":"2018-11-13","proceeding":null,"authors":["Satyajit Kamble","Aditya Joshi"],"abstract":"This paper reports an increment to the state-of-the-art in hate speech\ndetection for English-Hindi code-mixed tweets. We compare three typical deep\nlearning models using domain-specific embeddings. On experimenting with a\nbenchmark dataset of English-Hindi code-mixed tweets, we observe that using\ndomain-specific embeddings results in an improved representation of target\ngroups, and an improved F-score.","url_abs":"http://arxiv.org/abs/1811.05145v1","url_pdf":"http://arxiv.org/pdf/1811.05145v1.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":"hate-speech-detection-from-code-mixed-hindi","repo_url":"https://github.com/satyaSK/Hate-Speech-Detection","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"hate-speech-detection","task_name":"Hate Speech Detection"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}