• Mr. Abhijitsinh Parmar
• Aishwarya Bhatt
• Bhagyashri Deshmukh

There are wide range of potential web applications due to which e-commerce had received many interests from the industry. Most of the users make transaction through e-commerce websites for purchasing a product. In order to monitor the whole transaction process made through shopping website, we hereby propose a system where user is shopping via e-commerce website behaviors are predicted. In this project, we use data mining algorithm to predict the e-commerce behaviors such as their movements from one page to another and purchase transactions. Here, we explore a new data mining capability for e-commerce environment. Predicting sales report for every e-commerce website has become a need for predicting future sales based on previous product sale report. The proposed system satisfies all the need, which are required for e-commerce website.

Sentiment analysis, Products, Comments, Data opinion mining

"SENTIMENT ANALYSIS FOR PRODUCT RATING: I RECKON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.34-37, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06007.pdf

"SENTIMENT ANALYSIS FOR PRODUCT RATING: I RECKON", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp34-37, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06007.pdf