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Feature Selection for Sentiment Analysis by Ess Kay Ess is a document available to read on EtoBox.

What is Feature Selection for Sentiment Analysis about?

The document discusses a method for selecting attributes (features) for sentiment classification using feature relation networks (FRN). FRN is a rule-based multivariate feature selection technique that considers semantic information and syntactic relationships between n-gram features. It aims to efficiently select an enhanced subset of n-gram features to improve sentiment classification performance compared to existing selection methods. The paper proposes using an extended set of heterogeneous n-gram featu

Author

Ess Kay Ess

Language

EN