• Behjat U Nisa
• Er. Kiran Gupta

Data is created from a couple of resources and it is ever-growing. Content development inside the Internet these days has made a massive extent of facts on hand. This data is exhibited in numerous codecs, for instance, posts, information articles, remarks, and surveys. Particularly within the car, hardware and movie segments, clients have composed audits approximately objects or their functions. By amassing and examining these surveys, new clients find out others' opinion approximately various highlights of the item. In this research feature selection with mutual information and then optimized features is fed to hybrid category set of rules comprising of Naïve bayes primarily based on possibility and Decision Table primarily based on decision rules is applied. Experimental effects demonstrate that the proposed technique outperforms the prevailing technique by numerous parameters.

Naïve Bayes, Decision Table, Big data, Map reduce

"A Feature Selection Based Hybrid Classification Using Naive Bayes And Decision Table For Sentiment Analysis In Map Reduce Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.194-200, June 2019, Available :http://www.jetir.org/papers/JETIR1908B28.pdf

"A Feature Selection Based Hybrid Classification Using Naive Bayes And Decision Table For Sentiment Analysis In Map Reduce Environment", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp194-200, June 2019, Available at : http://www.jetir.org/papers/JETIR1908B28.pdf