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.
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S.Rahate et al. (2013) studied this question.
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