Fake Review Detection Using Machine Learning Techniques
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Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur, Bangladesh
Abstract
Nowadays, review sites are increasingly confronted with the spread of disinformation,
for example, opinion spam, which aims to promote or harm certain target businesses, by
simultaneously deceiving the human readers. For this reason, over the past years, several
data-driven approaches have been proposed to assess the credibility of user-generated
content delivered through social media in the form of online reviews. Linked to both
review and reviewers, as well as the network structure that links separate entities at the
review site.This article aims to provide an analysis of various machine learning methods
and deep learning methods for analyzing fake user review detection on bangla languages
based on the reviewer and review-centric features.Additionally, this work offers to provide
a synthesized dataset for fake user review detection in the Bangla language
Description
Supervised by
Ms. Lutfun Nahar Lota,
Assistant Professor.
Department of Computer Science and Engineering(CSE),
Islamic University of Technology (IUT)
Board Bazar, Gazipur-1704, Bangladesh.
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.
Keywords
Fake reviews, machine learning, reviewer centric , review centric
Citation
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