Employing Semi-Supervised and Supervised Learning to Discover False Online Ratings
DOI:
https://doi.org/10.55524/ijircst.2023.11.3.18Keywords:
Online Products, Fake Reviews, Identifica-tion, Classification, E-CommerceAbstract
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.
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