REVIEW PREDICTOR ON SOCIAL MEDIA FOR SPECIFIC TOPIC TO FIND ITS IMPACT ON PEOPLE: SENTIMENT ANALYSIS APPROACH

In this paper, we predict the reviews of people on social media like twitter and facebook to know the topic's impact. For eg: how many positive and negative reviews found on jallikattu as state wise. Now a days present industries and some survey companies are mainly taking decisions by data obtained from web. As we see WWW is a rich collection of data that is mainly in the form of unstructured data from which we can do analysis on those data which is collected on some situation or on a particular thing. Simply this review predictor collects all the tweets and facebook posts based on the keyword which is in unstructured format. We need to make it structured by using hadoop, php Search api for twitter and Graph api for facebook posts.