Cross-domain sentiment classification via spectral feature alignment

WWW, pp. 751-760, 2010.

被引用687|引用|浏览57|DOI:https://doi.org/10.1145/1772690.1772767
WOS SCOPUS EI
其它链接dblp.uni-trier.de|dl.acm.org|academic.microsoft.com

摘要

Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditional classification algorithms can be used to train sentiment classifiers from manually labeled text data, the labeling work can be time-consuming and expensive. ...更多

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