Twitter sentimental analysis

Abstract

In this current era, social media plays a important role in data exchange, sharing their thoughts. Emotional Effect of a person maintains an important role on their day to day life. Sentiment Analysis is a procedureof analyzing the opinions and polarity of thoughts of the person. Twitter is a main platform on sharing the thought's, opinion and sentiments on different occasions. Twitter Sentimental Analysis is method of analyzing the emotions from tweets (message posted by user in twitter). Tweets are helpful in extracting the Sentimental values from the user. The data provide the Polarity indication like positive, negative or unbiassed values. It is focused on the person’s tweets and the hash tags for understanding the situations in each aspect of the criteria. The paper is to analyse the famous person’s id’s (@realdonaldtrump) or hash tags (#IPL2018) for understanding the mindset of people in each situation when the person has tweeted or has acted upon some incidents. The proposed system is to analyze the sentiment of the people using python, twitter API, Text Blob (Library for processing text). As the results it helps to analysis the post with a better accuracy.