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INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERINGInternational Peer Reviewed (Refereed), Open Access Research Journal (By Aryavart International University, India) E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015 Impact Factor(2021): 5.246 | Impact Factor(2022): 5.605 |
Vishal Duhan
Vol. 4, Jan-Dec 2018
Page Number: 69 - 77
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