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Sentiment Research on Twitter Data

The scale of social network data that is being generated is increasing exponentially day by day. Public and private opinion of various subjects or issues are expressed in social media. Sentiment analysis is a method of analyzing the sentiment of a statement that it embodies. Twitter is one of the social medias that is gaining popularity nowadays and most people are using this platform to express their opinions. Sentiment analysis on Twitter is an application of analyzing the sentiment of twitter data(tweets) conveyed by the user. The research on this problem statement has grown consistently. The main reason behind this is the challenging format of tweets that are posted, and it makes the processing difficult. The tweet format would be the number of characters, slangs, abbreviations, emojis, http links and so on. In this paper the aim to describe the methodologies adopted, the process and models applied, along with a generalized approach using python. Sentiment analysis aims to determine or measure the attitude of the writer with respect to some topic.