Review of Various Sentiment Analysis Techniques of Twitter Data

A sentiment is known as an attitude or judgments towards any particular event or person. Opinion mining is known as the extraction of these sentiments or opinions from given data. This technique also helps in analyzing the kinds of sentiments that people have towards specific objects or services. The best source available to collect the sentiments is internet. Twitter is known as a social networking platform that is accessed by users for posting their views online. Due to the unique properties of Tweets, there is an increase in new challenges. Higher analysis studies are needed in case of sentiments as compared to other domain applications due to their complexities. Analyzing the sentiments of product reviews for Amazon is the focus of this research. Classification as well as feature extraction is applied such that sentiment analysis can be performed.