• Fareen Shaikh
• Mohini Akhare
• Prajakta Kunjir
• Monika Shinde
• Prof.K.B.Naik

In today's world, everyone tends towards the internet. The usage of the internet is increasing day by day. Online shopping trend increases as internet usage increases. Online consumer reviews influence 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. Based on this previous theory the process of computationally identifying and categorizing opinions expressed in a piece of text, especially 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 a proper recommendation to the end-user. We are work on supervised and unsupervised methodology. This system uses the real-time dataset of the review of the product.

"Effective Product Marketing Through Early Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.53-57, May-2020, Available :http://www.jetir.org/papers/JETIR2005311.pdf

"Effective Product Marketing Through Early Reviews", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp53-57, May-2020, Available at : http://www.jetir.org/papers/JETIR2005311.pdf