方法证据记录
Opinion Mining
Opinion mining is a natural-language-processing task that systematically extracts and analyses user opinions about a product, service, or topic — identifying the specific features (aspects) being discussed, the sentiment expressed toward each, and the opinion holders. Consolidated by Bing Liu (2012), it goes beyond a single document-level label to produce structured aspect–opinion–holder records.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Opinion Mining (Aspect-Based Sentiment Extraction)
分类方法记录 · process-pipeline / text-mining
- 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
精选声明
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相关方法
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