Cognitive-inspired domain adaptation of sentiment lexicons

Cognitive-inspired domain adaptation of sentiment lexicons

Sentiment lexicons are essential tools for polarity classification and opinion mining. In contrast to machine learning methods that only leverage text features or raw text for sentiment analysis, methods that use sentiment lexicons embrace higher interpretability. Although a number of domain-specifi...

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書目詳細資料
Main Authors:	Xing, Frank Z., Pallucchini, Filippo, Cambria, Erik
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2021
主題:	Engineering::Computer science and engineering Sentiment Lexicon Domain Adaptation
在線閱讀:	https://hdl.handle.net/10356/151125
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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