Abstract
With faster progression of internet and increasing number of users on social media, opinions, reviews, views, ratings, feedback are generated by users on the web are also increasing very rapidly.
These contents generated by the social media express the sentiment about the products, people and events.
Huge amount of sentiment data generated by social media which are in unstructured format.
It becomes mandatory to analysis such kind of data by using techniques of text mining and sentiment analysis.
Many challenges have been faced by researchers in sentiment analysis.
Analysis and detection of sentiment polarity becomes difficult due to these challenges.
Natural language processing and text analysis techniques are applied to analyze the sentiments, opinions and reviews; alongwithidentification and extraction of subjective information from text.
This paper presents the current state of sentiment analysis and detailed review of the existing work done by the researchers till yet.
The various research directions in field of sentiment analysis are also identified in this paper.
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