Sentiment analysis (SA) is the study and analysis of sentiments, appraisals
and impressions by people about entities, person, happening, topics and
services. SA uses text analysis techniques and natural language processing
methods to locate and extract information from big data. As most of the
people are networked themselves through social websites, they use to express
their sentiments through these websites.These sentiments are proved fruitful
to an individual, business, government for making decisions. The
impressions posted on different available sources are being used by
organization to know the market mood about the services they are providing.
Analyzing huge moods expressed with different features, style have raised
challenge for users. This paper focuses on understanding the fundamentals of
sentiment analysis, the techniques used for sentiment extraction and analysis.
These techniques are then compared for accuracy, advantages and
limitations. Based on the accuracy for expexted approach, we may use the
suitable technique.

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