Date of Publication :12th October 2017

Abstract: In recent years, Big Data Analytics has become an essential topic for researchers.It gains more popularity due to immense data set that becomes overwhelming to users. Therefore itis essential to extract opinions from the internet and predict online customer’s preferences, which could prove valuable for economic or marketing research.This inspire the researcher to develop a system that can identify and classify opinion the huge amount of text data based on the approach of Sentiment Analysis or Opinion Mining. The paper presents a survey covering the techniques and methods in sentiment analysis and challenges appear in the field. Sentiment analysis is done in data from applications like social network. There is a need for analyzing the sentiments of data and thereby defining the behaviour of the user. This involves feature extraction and thereby developing relationship trees within the scope of data.

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