Determination of Fake Reviews in Hospitality Sector

摘要

With ever-increasing reliance of customer on user-generated opinions (e.g., Trip Advisor and Yelp) in decision making, there comes an increasing potential threat of fake or fraudulent reviews for monetary gain. This has attracted the academician and industry to substantiate the prevalence of the fake online reviews and weed-out or detect the fake reviews. There has been a lot of work in this field in recent times and researchers have explored varied dimensions to solve the problem. We attempt to integrate most prevalent fake identification techniques to find out a robust classification model to classify reviews as fake or truthful.