• N.Annalakshmi,
• Dr.A.V. Seetha Lakshmi

Opinion mining is one of the chief tasks of NLP (Natural Language processing). Opinion mining has rapidly gained importance because of, in relation to the without such examples before-hand of amount of opinionated facts on the the net. People give part their opinions on products, services, they rate motion pictures, stores for taking food or time resting from work places where one is going. Social thing by which something is done such as facebook or make the sound of birds has made it more comfortable than ever for users to give part their views and make it readily got to for anybody on the the net. The of money and goods possible unused quality has been took as having authority by companies who need to get well their products and arms, discover new trends and business chances or get out how working well their on-line marketing efforts are. In our work, we present a new careful way that able to get out product features opinions of person getting support or goods from grouping networks using teaching book observations expert ways of art and so on. This work takes to be the same customers opinions looking upon product points. We get greater, stronger, more complete a system for putting in good order again tweets about a product from make the sound of birds and discover product features opinions and their having electric property.

Big Data, Natural Language Processing, Opinion mining

"Big Data Analysis Based on Opinion Mining by Extraction Customer Opinion Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.112-116, June 2019, Available :http://www.jetir.org/papers/JETIR1907014.pdf

"Big Data Analysis Based on Opinion Mining by Extraction Customer Opinion Features", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp112-116, June 2019, Available at : http://www.jetir.org/papers/JETIR1907014.pdf