Feature Selection for Sentiment Analysis by using SVM
Rohini S.Rahate, M. Emmanuel · International Journal of Computer Applications · 2013
Sentiment analysis depends on feature selection methods to approaches that use general statistical measures where features are selected on empirical evidence.Empirical evidence (research) is a way of gaining knowledge by means of direct and indirect observation or experience.there are new features selection schemes that use a content and syntax model that is used to automatically learn a set of features in a review document and removing the entities that are being reviewed from the subjective expression that describe those entities in terms of polarities. General TermsSentiment analysis is the branch of natural language processing and information extraction.The main aim of sentiment analysis is obtain author's feelings expressed in form of positive and negative comments, and by analyzing a large number of documents.