Rating based mechanism to contrast abnormal posts on movies reviews using MapReduce paradigm

Abstract

BigData contains large amount of unstructured data in the form of movie data, facebook data, and industry data and so on. There are number of posts are posted on Twitter about movies by different users. Out of these posts some of posts may be inappropriate. These posts contain negative comments as well as positive comments about movies. It is difficult to distinguish large number of positive and negative posts. To overcome this kind of problem we proposed a rating based mechanism that distinguishes abnormal posts with the help of users rating. If rating is positive then post is normal otherwise it is abnormal. To implement proposed mechanism we used hadoop platform and MapReduce paradigm.