Journals Proceedings

Abstract

Sentiment analysis includes computational techniques to understand opinions and sentiment in texts. Several studies have explored supervised and unsupervised methods for sentiment classification covering natural language processing techniques, information retrieval and lexical resources. Training and testing data are appropriate from documents since each review has already labeled. This paper describes labeled datasets publicly available for sentiment classification problem.