International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

NetSpam : A Network-Based Spam Detection Framework for Reviews in Online Social Media.

Author(s) Sunanda, Subiya Noorain, Shivanand S.Rumma, Sweta
Country India
Abstract The system ensures about irrelevant or promotional comments on blogs, forums, or social media. In today’s digital age, online reviews play a crucial role in shaping consumer decisions and business reputations. However, the open nature of these platforms also provides opportunities for malicious actors to post spam reviews, misleading users and undermining the credibility of genuine feedback. Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area.
Keywords Heterogeneous Information Network (HIN), Online Social Media, Social network, Spammers, Spam detection, Spam reviews.
Field Computer Applications
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-10-23
Cite This NetSpam : A Network-Based Spam Detection Framework for Reviews in Online Social Media. - Sunanda, Subiya Noorain, Shivanand S.Rumma, Sweta - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.29252
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.29252
Short DOI https://doi.org/g8pnm6

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