Difference between revisions of "Sentiment Classification"
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| + | This is a [[category::problem]]. | ||
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Sentiment Classification is a sub-task of broader study of sentiment analysis. Determining the polarity of words in a sentence is helpful in finding the polarity of the whole text - for example in a tweet,blog,movie review. Other than classifying a word as expressing positive, negative or neutral sentiment - the classification can be broader as to incorporate sadness, happy, irritate, angry, etc. | Sentiment Classification is a sub-task of broader study of sentiment analysis. Determining the polarity of words in a sentence is helpful in finding the polarity of the whole text - for example in a tweet,blog,movie review. Other than classifying a word as expressing positive, negative or neutral sentiment - the classification can be broader as to incorporate sadness, happy, irritate, angry, etc. | ||
Works by [http://arxiv.org/abs/cs.LG/0212032 Turney(2002)], [http://acl.ldc.upenn.edu/P/P02/P02-1053.pdf Pang(2002)] have described the problem of sentiment classification, although it is not the focus of the paper. | Works by [http://arxiv.org/abs/cs.LG/0212032 Turney(2002)], [http://acl.ldc.upenn.edu/P/P02/P02-1053.pdf Pang(2002)] have described the problem of sentiment classification, although it is not the focus of the paper. | ||
Latest revision as of 22:54, 3 October 2012
This is a problem.
Sentiment Classification is a sub-task of broader study of sentiment analysis. Determining the polarity of words in a sentence is helpful in finding the polarity of the whole text - for example in a tweet,blog,movie review. Other than classifying a word as expressing positive, negative or neutral sentiment - the classification can be broader as to incorporate sadness, happy, irritate, angry, etc.
Works by Turney(2002), Pang(2002) have described the problem of sentiment classification, although it is not the focus of the paper.
