Sentiment Analysis of Twitter Data in Online Social Network

Sentiment Analysis is the procedure of computationally deciding if a bit of composing is certain, negative or nonpartisan. It's otherwise called supposition mining, inferring the sentiment or frame of mind of a user. In this paper, an attempt has been made to propose analysis method for sentiment of twitter dataset. In proposed method polarity of each tweet is calculate to distinguish whether tweet is positive or negative. A sentiment polarity is the emotions of user such as angry, sad, happy and joy. The proposed mechanism has been implemented in Python.