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

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.

[1]  N. Tajunisha,et al.  A study on evolution of data analytics to big data analytics and its research scope , 2015, 2015 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS).

[2]  Hadi Pouransari,et al.  Deep learning for sentiment analysis of movie reviews , 2015 .

[3]  Anisha P. Rodrigues,et al.  Performance enhancement of Hadoop MapReduce framework for analyzing BigData , 2015, 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).

[4]  Kuat Yessenov,et al.  Sentiment Analysis of Movie Review Comments , 2009 .

[5]  Paulo Estevão Cruvinel,et al.  Big Data Environment for Agricultural Soil Analysis from CT Digital Images , 2016, 2016 IEEE Tenth International Conference on Semantic Computing (ICSC).

[6]  Samuel Madden,et al.  From Databases to Big Data , 2012, IEEE Internet Comput..

[7]  M. G. Midhun Mohan,et al.  A BigData approach for classification and prediction of student result using MapReduce , 2015, 2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS).