Process / pipeline
观点挖掘 — 基于方面的情感提取
观点挖掘是一项自然语言处理任务，它系统地提取和分析用户对产品、服务或主题的意见，识别被讨论的具体特征（方面）、对每个方面表达的情感以及意见持有者。由Bing Liu（2012）整合，它超越了单一的文档级标签，生成结构化的方面–意见–持有者记录。
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Method map
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来源
- Liu, B. (2012). Sentiment Analysis and Opinion Mining. Morgan & Claypool. DOI: 10.2200/S00416ED1V01Y201204HLT016 ↗
- Pang, B. & Lee, L. (2008). Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval, 2(1-2), 1-135. DOI: 10.1561/1500000011 ↗
如何引用本页
ScholarGate. (2026, June 1). Opinion Mining (Aspect-Based Sentiment Extraction). ScholarGate. https://scholargate.app/zh/text-mining/opinion-mining
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