• shilpa yadav
• Dr. Gulbakshee Dharmale
• Prof. Khushali Mistry

Online reviews play a very important role in today's e-commerce for decision-making. Large part of the population i.e. customers read reviews of products or stores before making the decision of what or from where to buy and whether to buy or not. As writing fake/fraudulent reviews comes with monetary gain, there has been a huge increase in deceptive opinion spam on online review websites. Basically fake review or fraudulent review or opinion spam is an untruthful review. Positive reviews of a target object may attract more customers and increase sales; negative review of a target object may lead to lesser demand and decrease in sales. These fake/fraudulent reviews are deliberately written to trick potential customers in order to promote/hype them or defame their reputations. Our work is aimed at identifying whether a review is fake or truthful one.

"fake review detection using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.308-315, April-2021, Available :http://www.jetir.org/papers/JETIR2104042.pdf

"fake review detection using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp308-315, April-2021, Available at : http://www.jetir.org/papers/JETIR2104042.pdf