| 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 | |
| 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 |