{"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/deep-learning-for-hate-speech-detection-in","title":"Deep Learning for Hate Speech Detection in Tweets","arxiv_id":"1706.00188","date":"2017-06-01","proceeding":null,"authors":["Pinkesh Badjatiya","Shashank Gupta","Manish Gupta","Vasudeva Varma"],"abstract":"Hate speech detection on Twitter is critical for applications like\ncontroversial event extraction, building AI chatterbots, content\nrecommendation, and sentiment analysis. We define this task as being able to\nclassify a tweet as racist, sexist or neither. The complexity of the natural\nlanguage constructs makes this task very challenging. We perform extensive\nexperiments with multiple deep learning architectures to learn semantic word\nembeddings to handle this complexity. Our experiments on a benchmark dataset of\n16K annotated tweets show that such deep learning methods outperform\nstate-of-the-art char/word n-gram methods by ~18 F1 points.","url_abs":"http://arxiv.org/abs/1706.00188v1","url_pdf":"http://arxiv.org/pdf/1706.00188v1.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":"deep-learning-for-hate-speech-detection-in","repo_url":"https://github.com/pinkeshbadjatiya/twitter-hatespeech","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":{"status":"unanswered"}}],"tasks":[{"task_slug":"16k","task_name":"16k"},{"task_slug":"deep-learning","task_name":"Deep Learning"},{"task_slug":"event-extraction","task_name":"Event Extraction"},{"task_slug":"hate-speech-detection","task_name":"Hate Speech Detection"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1706.00188","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}