An approach to build a sentiment analyzer: A survey

Abstract

With the increase in the use of social networking sites like Twitter anyone can share or express his or her views with each other on a common stage. Twitter sentiment analyzer is a tool which is used to find out whether a corpus of data is positive, negative or neutral. Our work focuses on the steps involved in this Opinion Mining problem necessary to fetch opinions out of a corpus. We also aim to look at the strengths and scope for future research in the field of Twitter sentiment analyzer.