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Opinion Mining Techniques for Non-English Languages: An Overview
Neelima Tulashiram Mhaske, Patil Ajay S.
Pages - 54 - 64     |    Revised - 30-11-2016     |    Published - 31-12-2016
Volume - 7   Issue - 2    |    Publication Date - December 2016  Table of Contents
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KEYWORDS
Opinion Mining, Sentiment Analysis, Natural Language Processing.
ABSTRACT
The amount of user-generated data on web is increasing day by day giving rise to necessity of automatic tools to analyze huge data and extract useful information from it. Opinion Mining is an emerging area of research concerning with extracting and analyzing opinions expressed in texts. It is a language and domain dependent task having number of applications like recommender systems, review analysis, marketing systems, etc. Early research in the field of opinion mining has concentrated on English language. Many opinion mining tools and linguistic resources have been built for English language. Availability of information in regional languages has motivated researchers to develop tools and resources for non-English languages. In this paper we present a survey on the opinion mining research for non-English languages.
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Miss Neelima Tulashiram Mhaske
School of Computer Sciences, North Maharashtra University, Jalgaon, Maharashtra, 425001, India - India
neelimamhaske@gmail.com
Dr. Patil Ajay S.
School of Computer Sciences, North Maharashtra University, Jalgaon, Maharashtra, 425001, India - India