• Chaitrali kardile
• Prof. Revati M. Wahul

Use of social media, this marketing strategy can be used to destroy financial state of the product or service provider. Because of customer’s trust on social media there are always positive and negative reviews or opinion about the product which affects a service provider. It has a liability that anyone can leave a review and spammers can take off a chance to take sincere survey about a product. There has been considerable amount of studies to categorize this spam reviews as in positive and negative. This paper proposes a use of heterogeneous information network in Netspam framework. Heterogeneous information network contribute in large number of data which will be useful in developing spam detection system. This system will categorize spam reviews on the basis of features that are review on behavioural based, user on behavioural based, review on linguistic based, user on linguistic based, the first type of features performs better than the other categories. The contribution work is when user will search query it will display all top products as well as there is recommendation of the product by using user’s point of interest..

Social Media, Social Network, Spammer, Spam Review, Fake Review, Heterogeneous Information Networks, Metapath.

"Spam Review Detection and Recommendation of Superior Results in NetSpam Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.98-101, April-2019, Available :http://www.jetir.org/papers/JETIR1904F19.pdf

"Spam Review Detection and Recommendation of Superior Results in NetSpam Framework", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp98-101, April-2019, Available at : http://www.jetir.org/papers/JETIR1904F19.pdf