Sentiment Analysis-An Objective View

Author(s):

Prof. Samir Kumar Bandyopadhyay , University of Calcutta; Soumi Sarkar, University of Calcutta; Taniya Seal, University of Calcutta

Keywords:

Sentiment analysis, Natural language processing, and Pattern Recognition

Abstract:

One fundamental problem in sentiment analysis is categorization of sentiment polarity. Given a piece of written text, the problem is to categorize the text into one specific sentiment polarity, positive or negative (or neutral). Based on the scope of the text, there are three distinctions of sentiment polarity categorization, namely the document level, the sentence level, and the entity and aspect level. Consider a review “I like multimedia features but the battery life sucks.” This sentence has a mixed emotion. The emotion regarding multimedia is positive whereas that regarding battery life is negative. Hence, it is required to extract only those opinions relevant to a particular feature (like battery life or multimedia) and classify them, instead of taking the complete sentence and the overall sentiment. In this paper, we present a novel approach to identify pattern specific expressions of opinion in text.

Other Details:

Manuscript Id	:	J4RV2I2014
Published in	:	Volume : 2, Issue : 2
Publication Date	:	01/05/2016
Page(s)	:	26-29

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