Optimal feature selection for learning-based algorithms for sentiment classification

Optimal feature selection for learning-based algorithms for sentiment classification

Sentiment classification is an important branch of cognitive computation—thus the further studies of properties of sentiment analysis is important. Sentiment classification on text data has been an active topic for the last two decades and learning-based methods are very popular and widely used in v...

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書目詳細資料
Main Authors:	WANG, Zhaoxia, LIN, Zhiping
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2020
主題:	Machine learning feature selection Optimal feature selection relationship analysis sentiment classification social media text analysis Computational Engineering Databases and Information Systems Theory and Algorithms
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/5887 https://ink.library.smu.edu.sg/context/sis_research/article/6882/viewcontent/Wang_Lin2020_Article_OptimalFeatureSelectionForLear__1_.pdf
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