• Damini Rajendra patil
• Prof . Anil Gujar

In today’s world, everyone tends towards the internet. Usage of the internet is increasing day by day. Online shopping trend increases as internet usage increases. Online consumer reviews influence the consumer decision-making. End-user has seen the reviews of the product of the previous user and decides about good things and bad things. The Web provides an extensive source of consumer reviews, but one can hardly read all reviews to obtain a fair evaluation of a product or service. On the basis of this previous theory the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. So, in this paper we are working on the sentiment analysis of that particular review and gives proper recommendation to end user. We are work on the supervised and unsupervised methodology. This system uses the real-time dataset of the review of the product.

"Early Reviews of Purchaser for Product to Analyze the Sales in Ecommerce Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.199-201, June 2019, Available :http://www.jetir.org/papers/JETIR1906L29.pdf

"Early Reviews of Purchaser for Product to Analyze the Sales in Ecommerce Application", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp199-201, June 2019, Available at : http://www.jetir.org/papers/JETIR1906L29.pdf