Sentiment Analyis of Indian Movie Review with Various Feature Selection Techniques
AbstractIn the first place, Data Mining Sentiment analysis and opinion mining is an emerging area of research for analysing web data and capturing the sentiment of the users. In addition, research presents sentiments analysis on Indian movie review corpus using machine learning classifier although this may be true, Bayesian Classifier has been used in this study for testing feature selection mechanics.To point out, classifier is trained on the words/features of the corpus extracted using five feature selection algorithms (Chi-square, Data Mining Info-gain, Gain-Ratio, One-R and relief attribute and a comparative Sentiments Analysis study have been performed amongst them. The classifier and feature selection approaches were evaluated by two different metrics (F-Value, and False Positive). As a result,Data Mining for maximum number of features, In order to,Relief -F feature selection approach is found to be good with better F-value, Feature
Selection Techniques Low FP Rate. In addition for the less number of features, One-R was better than Relief-F.In that case,electronic document is a “live” template and already defines the components of your paper [title, text, heads, etc.] in its style sheet.
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