A Survey of Sentiment Classification Techniques Used for Indian Regional Languages
نویسندگان
چکیده
Sentiment Analysis is a natural language processing task that extracts sentiment from various text forms and classifies them according to positive, negative or neutral polarity. It analyzes emotions, feelings, and the attitude of a speaker or a writer towards a context. This paper gives comparative study of various sentiment classification techniques and also discusses in detail two main categories of sentiment classification techniques these are machine based and lexicon based. The paper also presents challenges associated with sentiment analysis along with lexical resources available.
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