INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

ABSTRACT


ANALYZING THE USABILITY OF ONTOLOGY LINKED NAIVE BAYESIAN TO CHECK PERVASIVE ONLINE SPAM REVIEW

Vishal Duhan

Vol. 4, Jan-Dec 2018

Page Number: 069-077

Abstract:

Now a days, lots of people in current era using social media for making their mindset to buy some products or services. Opinion mining spam investigation is a challenging errand to dissect the survey since counterfeit audits can be made by the proprietor of the item and also people for various purposes. They use to write unwanted or fake reviews to approach readers or use automated detection technique to encourage or discourage target products and their reputations. In my paper, our new approach is based on knowledgebased Ontology and some other approach to detect opinion spam with high accuracy

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