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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
A Machine Learning Approach for Fake Review Detection in Online Platforms
Authors
Snehal Rahul Pawar, Shreya Ghadge, Samruddhi Shedage, Janhavi Lakeri, Shubham Palkhe
Keywords
Fake review detection, machine learning, supervised machine learning, feature engineering
Abstract
Fake reviews have become a growing concern in online platforms, impacting consumer trust and decision-making. This paper explores the use of machine learning (ML) and natural language processing (NLP) techniques to detect fake reviews in e-commerce platforms. We propose a two-stage approach: first, we extract text- based features from reviews using NLP techniques like term frequency-inverse document frequency (TF-IDF). then, we apply a Nave Bayes to distinguish between fake and genuine reviews.
IJCRT's Publication Details
Unique Identification Number - IJCRT2501057
Paper ID - 275195
Page Number(s) - a541-a546
Pubished in - Volume 13 | Issue 1 | January 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Snehal Rahul Pawar, Shreya Ghadge, Samruddhi Shedage, Janhavi Lakeri, Shubham Palkhe, "A Machine Learning Approach for Fake Review Detection in Online Platforms", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.a541-a546, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501057.pdf
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Volume 13 | Issue 12
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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