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A Survey on Sentiment Categorization of Movie Reviews

Publication Date : 31/01/2015



Author(s) :

Hardik D. Patel , Shafin N. Vahora.


Volume/Issue :
Volume 2
,
Issue 1
(01 - 2015)



Abstract :

Sentiment categorization is a process of mining user generated text content and determine the sentiment of the users towards that particular thing. It is the approach of detecting the sentiment of the author in regard to some topics. It also known as sentiment detection, sentiment analysis and opinion mining. It is very useful for movie production companies that interested in knowing how users feel about their movies. For example word “excellent” indicates that the review gives positive emotion about particular movie. The same applies to movies, songs, cars, holiday destinations, Political parties, social network sites, web blogs, discussion forum and so on. Sentiment categorization can be carried out by using three approaches. First, Supervised machine learning based text classifier on Naïve Bayes, Maximum Entropy, SVM, kNN classifier, hidden marcov model. Second, Unsupervised Semantic Orientation scheme of extracting relevant N-grams of the text and then labelling. Third, SentiWordNet based publicly available library. 


No. of Downloads :

17


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A Survey on Sentiment Categorization of Movie Reviews

January 31, 2015