A Survey of Sentiment Classsifiction Techniques

Sangita N. Patel, Jignya B. Choksi

Abstract: Sentiment classification is an ongoing field and interesting area of research because of its application in various fields collecting review from people about products and social and political events through the web. Currently, Sentiment Analysis concentrates for subjective statements or on subjectivity and overlook objective statements which carry sentiment(s). During the sentiment classification more challenging problem are faced due to the ambiguous sense of words, negation words and intensifier. Due to its importance the correct sense of target word is extracted and determined for which the similarity arise in WordNet Glosses. This paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field.

Keywords: Sentiment classification, Word sense disambiguation, Intensifier, SentiWordNet, WordNet