Research Article
Unmasking Review Manipulation on E-Commerce Platforms
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357932, author={Sasidhar Reddy Kasa and Sruthi Ravuri and Snikitha Polisetty and Kavya Akkineni and D. S. Bhupal Naik}, title={Unmasking Review Manipulation on E-Commerce Platforms}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={fake review detection machine learning natural language processing tf-idf vectorization otp authentication text classification online review analysis}, doi={10.4108/eai.28-4-2025.2357932} }- Sasidhar Reddy Kasa
Sruthi Ravuri
Snikitha Polisetty
Kavya Akkineni
D. S. Bhupal Naik
Year: 2025
Unmasking Review Manipulation on E-Commerce Platforms
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357932
Abstract
The explosion of online reviews has greatly impacted customer choices and company reputations. Then again, there are fake reviews on these sites across the board. The objective of this paper is to Use NLP with supervised machine learning in order to Detect fake reviews. The procedure includes the text pre-processing tokenization, stop words removal, and stemming and the feature extraction based on TF-IDF. Finally, the genuine and fake reviews are classified using a pretrained classification model. Furthermore, a user of the system can access the same through an OTP based user authentication. The experimental results show a good detection performance of fake reviews, and contribute to the trust of online review systems.
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