A Comparative Study on Cross Domain Sentiment Classification

Vrindha Aravind, Jyothish K John


Users can express their opinion and sentiments in various review sites in theinternet. Sentiment classification deals with the extraction of useful informationfrom unstructured data, which can be used in various applications. Sentiment classification predicts the polarity of each opinionated reviews. It helps thecustomers to choose and the manufacturer to rate their product/services. Crossdomain sentiment classification helps in classifying the reviews across variousdomains at much lower cost and time. This paper presents a short survey onvarious techniques used to implement cross domain sentiment analysis.


Cross Domain Sentiment classification, SCL, SFA, Sentiment Sensitive Thesaurus, Sentiment Embedding

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DOI: https://doi.org/10.26483/ijarcs.v8i5.3328


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