Call for Papers:Vol.12 Issue.3

Submission
Last date		 28-Jun-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Spam Review Detection Using Machine Learning.
PaperId: :  24145
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-24145
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sinchana M N Rajarajeswari College Of Engineering
Kavana S KRajarajeswari College Of Engineering
Hemakrishna G R Rajarajeswari College Of Engineering
Kousalya H Rajarajeswari College Of Engineering

Abstract

Information Science & Engineering
Machine Learning, fake review, Social Media , Online Feedback, Sentimental Analysis.
With the Covid-19 pandemic, massive lockdowns and social distancing tactics have contributed to an increase in the prevalence of the WWW and online service platforms. User-generated material, including customer reviews, has proliferated due to the proliferation of products and services offered by this digital world. These evaluations are extremely powerful, influencing both consumer choices and company product improvements. Nevertheless, inside this ecosystem, a harmful practice has surfaced, whereby certain entities utilize phony reviews—fake recommendations for their own products or false criticism of rivals'—in order to profit financially. The credibility of internet business is compromised by this dishonesty, which also misleads prospective customers. A strong system to identify and remove fake reviews is necessary to counter this threat. This research uses ML techniques to give a comprehensive framework for detecting bogus reviews. The objective of the suggested framework is to determine which categorization method is best suited to assign. Through a thorough examination of multiple machine learning algorithms, the framework aims to build a dependable system to differentiate between authentic and fraudulent reviews, protecting users' interests and promoting trust in online platforms.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . "Spam Review Detection Using Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 4172-4178
MLA Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . "Spam Review Detection Using Machine Learning.." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 4172-4178.
APA Sinchana M N , Kavana S K, Hemakrishna G R , & Kousalya H . (2024). Spam Review Detection Using Machine Learning.. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 4172-4178.
Chicago Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . "Spam Review Detection Using Machine Learning.." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 4172-4178.
Oxford Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . 'Spam Review Detection Using Machine Learning.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 4172-4178. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Spam_Review_Detection_Using_Machine_Learning__ijariie24145.pdf (Accessed : ).
Harvard Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . (2024) 'Spam Review Detection Using Machine Learning.', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 4172-4178IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Spam_Review_Detection_Using_Machine_Learning__ijariie24145.pdf (Accessed : )
IEEE Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H , "Spam Review Detection Using Machine Learning.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 4172-4178, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Spam_Review_Detection_Using_Machine_Learning__ijariie24145.pdf [Accessed : ].
Turabian Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . "Spam Review Detection Using Machine Learning.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 ().
Vancouver Sinchana M N , Kavana S K, Hemakrishna G R , and Kousalya H . Spam Review Detection Using Machine Learning.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(3) : 4172-4178. Available from: https://ijariie.com/AdminUploadPdf/Spam_Review_Detection_Using_Machine_Learning__ijariie24145.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
A Detailed Review of Photovoltaic Dust and Soiling Detection Techniques Using UAV, Image Processing, Machine Learning and Deep Learning ApproachesComputer EngineeringThulasi Download
A Comprehensive Review of Deep Learning Techniques for Crop Pest Detectioncomputer science and engineeringmaithri Download
A Comprehensive Review of Dynamic Diffusion Spatio-Temporal Graph Convolutional Networks for Traffic ForecastingComputer Science and EngineeringNikhitha Download
A Detailed Review of Video Generation Using Textual Descriptions and Structural GuidanceComputer science and engineeringDisha Download
A Review On Smart Metering Enabled by the Internet of Things for Monitoring Residential Energy Consumption and Power QualityComputer Science EngineeringDeeksha A Download
POLICY GUARDIAN: A HYBRID TWO-TIER AI FRAMEWORK FOR AUTOMATED LEGAL DOCUMENT DISCOVERY, RISK CLASSIFICATION, AND SEMANTIC SIMPLIFICATIONComputer Science & EngineeringAshik James Download
Review Paper on Transformer-based Generative Adversarial Network (GAN) hybrid modelComputer EngineeringPalak Yadav Download
A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTINGComputer EngineeringPAMU NAGARJUNA Download
Generating Text Conditioned 3D Human MotionComputer Science and EngineeringShilna Koyileriyan Download
Automated Seat Belt Detection Using Surveillance Cameras for Indian TrafficComputer EngineeringRENUKA T R Download
LITERATURE REVIEW OF PREDICTING DISEASE GENE ASSOCIATION Computer EngineeringNihala K P Download
WORD-LEVEL BLUR FOR REAL-TIME SCREEN ABUSE DETECTION: IMPLEMENTATION AND EVALUATIONcomputer Engineeringsohel sayyad Download
Heart Attack Risk Prediction Using Retinal Eye ImagesMachine LearningPrasanthi Siri Kuruma Download
Real Time Zero Knowledge Privacy & Ai Security for currency Transaction Using EthereumComputer EngineeringPANTHULA SAI MURALI Download
JANMITRA - AI POWERED PLATFORM BRIDGING SOCIETIES WITH NGO'S AND ORGANIZATIONScomputer engineeringUMESH AAGDE Download
12