Indexing Metadata

1 Title of the Article Employing Semi-Supervised and Supervised Learning to Discover False Online Ratings
2 Author's name Giribabu Sadineni: Associate Professor, Department of Computer Science and Engineering, PACE Institute of Technology and Sciences, Ongole, Andhra Pradesh, India
3 Author's name Janardhan Reddy D, Ch. Meghana Sri, K.Deepthi, M.Kaveri, J.Aiswarya
4 Subject Computer Science & Engineering
5 Keyword(s) Online Products, Fake Reviews, Identifica-tion, Classification, E-Commerce
6 Abstract

Today's modern industry and trade, internet evaluations matter a lot. Buying web items is often influenced by the opinions of other customers. Because of this, unscrupulous folks or organisations attempt to rig customer evaluations to their personal advantage. Using a lodging rating database, this research examines the performance of semi-supervised (SSVD) and supervised (SVD) word extraction methods for detecting false ratings.

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-11 Issue-3
9 Publication Date May 2023
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=Employing-Semi-Supervised-and-Supervised-Learning-to-Discover-False-Online-Ratings&year=2023&vol=11&primary=QVJULTExNzE=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2023.11.3.18   https://doi.org/10.55524/ijircst.2023.11.3.18
14 Language English
15 Page No 94-95