• Prof. R. R. Kolte
• Shweta Mendhe
• Nandini Mane
• Rutuja Unde
• Sayali Bagde

Product reviews play an important role in deciding the sale of a particular product on the e-commerce websites or applications like Flipkart, Amazon, Snapdeal, etc. In this paper, we propose a framework to detect fake product reviews or spam reviews by using Opinion Mining. The Opinion mining is also known as Sentiment Analysis. In sentiment analysis, we try to figure out the opinion of a customer through a piece of text. We first take the review and check if the review is related to the specific product with the help of Decision tree. We use Spam dictionary to identify the spam words in the reviews. In Text Mining we apply several algorithms and on the basis of these algorithms we get the specific results.

spam review detection, opinion mining, decision tree, text mining.

"Fake Product Review Monitoring and Product Evaluation using Opinion Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.30-36, May-2019, Available :http://www.jetir.org/papers/JETIRBV06006.pdf

"Fake Product Review Monitoring and Product Evaluation using Opinion Mining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp30-36, May-2019, Available at : http://www.jetir.org/papers/JETIRBV06006.pdf