Process / pipeline
仇恨言论检测 — 有害文本的自动化分类
仇恨言论检测是一项自然语言处理任务，旨在自动识别社交媒体和在线平台上的仇恨、冒犯性或有害文本。Davidson及其同事（2017）明确了这项任务，他们指出，将真正的仇恨言论与仅仅是冒犯性语言区分开来是一个困难且独特的分类问题，而非单一的毒性评分，并阐释了其原因。
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来源
- Davidson, T., Warmsley, D., Macy, M. & Weber, I. (2017). Automated Hate Speech Detection and the Problem of Offensive Language. ICWSM, 11(1), 512-515. DOI: 10.1609/icwsm.v11i1.14955 ↗
- Fortuna, P. & Nunes, S. (2018). A Survey on Automatic Detection of Hate Speech in Text. ACM Computing Surveys, 51(4), 1-30. DOI: 10.1145/3232676 ↗
如何引用本页
ScholarGate. (2026, June 1). Automated Hate Speech Detection. ScholarGate. https://scholargate.app/zh/text-mining/hate-speech-detection
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