Analysis of Various Sentiment Analysis Techniques

Any kind of attitude, through or judgment that occurs due to any feeling is known as a sentiment which is also known as opinion mining. The sentiments of individuals towards particular elements are analyzed in this approach. To gather sentiment information, web or internet is the best known source. A platform that is accessed socially by various users to post their views is known as Twitter. The messages that are posted by these users are known as tweets. The properties of Tweets are highly unique due to which new challenges have raised. In comparison to several other domains, the sentiment analysis requires higher analysis studies. In the form of data source, the tweets are used from Twitter. The twitter public API is given for the extraction of tweets on a large scale. The "twitteroauth" version of the public API by Williams (2012) is utilized in this situation. It is possible to run this version on local host or web servers and the implementation is done on PHP. For performing feature analysis in sentiment analysis, the N-gram approach is used here.