Author : Miss. Amruta A. Gujar and N.G.Pardeshi

Nowadays, Social media used in many cases. It is also used to express the opinions or emotions on particular topic. There are various social media exist like facebook, twitter, linkedin etc. Now, Peoples having their account on more than one social media account which they can use for the purpose of sharing their thoughts, emotions etc. Twitter is mostly used social media account where people comment on tweets. In IPL system when someone make tweet related to the IPL. There are biggest fans of the IPL who comment on the tweet related to the IPL like share their emotions related to particular match or player. Tweet related to the IPL get extracted using the Phrases and hashtags . Machine learning technique random forest used to extract that tweets and perform some operation on that extracted tweet and classify it into various categories. Tweets get classified in the classes like Positive, Strongly positive, negative, strongly negative, neutral etc. To get the tweet from the twitter it need to access the twitter API using the credentials of twiiter account. For random forest method NLP library and the manual dataset used to verify the results. NLP is nothing but the natural language processing library where it contains set of words which is useful to match the extracted result.

Keywords: Opinion mining, Machine learning, random forest, NLP, Twitter.