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Sentiment Analysis for User Reviews

Author(s):

Prof. S. P. Pingat , STES's SKNCOE; Rajshree S. Dangche; Sakshi Jain; Vaishali B. Lambhate

Keywords:

RNN (Recurrent Neural Network), LSTM (Long Short Term Memory), NLP (Natural Language Processing), Opinion mining, Sentiment polarity categorization

Abstract

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. Sentiment analysis or opinion mining is one of the major tasks of NLP (Natural Language Processing). Sentiment analysis has gained much attention in recent years. In this paper, we aim to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis. A general process for sentiment polarity categorization is proposed with detailed process descriptions.

Other Details

Paper ID: IJSRDV5I10625
Published in: Volume : 5, Issue : 1
Publication Date: 01/04/2017
Page(s): 1794-1796

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