Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-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-1. 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: :  Spammer Detection And Fake User Identification on Social Media
PaperId: :  14000
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-14000
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Srihariharan TK.S. Rangasamy College of Technology
Shanmuga Surya SK.S. Rangasamy College of Technology
Senthilraja PK.S. Rangasamy College of Technology

Abstract

Data Mining
Data Mining, Spammer Detection, Social Media, Fake Users
As e-commerce is growing and becoming popular day-by-day, the number of reviews received from customer about any product grows rapidly. People nowadays heavily rely on reviews before buying anything. Product reviews play an important role in deciding the sale of a particular product on the ecommerce websites or applications like Flipkart, Amazon, Snapdeal, etc. In this paper, we propose a framework to detect fake product reviews or spam reviews by using Opinion Mining. The Opinion mining is also known as Sentiment Analysis. In sentiment analysis, we try to figure out the opinion of a customer through a piece of text. The proposed method called VWNB-FIUT (Value Weighted Naïve Bayes with Frequent Pattern Ultra Metric Tree) automatically classifies users' reviews into "suspicious", "clear" and "hazy" categories by phase-wise processing. The hazy category recursively eliminates elements into suspicious or clear. This results into richer detection and be useful to business organization as well as to customers. Business organization can monitor their product selling by analyzing and understanding what the customers are saying about products. This can help customers to purchase valuable product and spend their money on quality products. Finally end users see that each individual review with polarity scores and credibility score annotated on it. We first take the review and check if the review is related to the specific product with the help of VWNB. We use Spam dictionary to identify the spam words in the reviews by using FIUT. In Text Mining we apply several algorithms and on the basis of these algorithms we get the specific results.

Citations

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

IJARIIE Srihariharan T, Shanmuga Surya S, and Senthilraja P. "Spammer Detection And Fake User Identification on Social Media" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1150-1153
MLA Srihariharan T, Shanmuga Surya S, and Senthilraja P. "Spammer Detection And Fake User Identification on Social Media." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1150-1153.
APA Srihariharan T, Shanmuga Surya S, & Senthilraja P. (2021). Spammer Detection And Fake User Identification on Social Media. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1150-1153.
Chicago Srihariharan T, Shanmuga Surya S, and Senthilraja P. "Spammer Detection And Fake User Identification on Social Media." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1150-1153.
Oxford Srihariharan T, Shanmuga Surya S, and Senthilraja P. 'Spammer Detection And Fake User Identification on Social Media', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1150-1153. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Spammer_Detection_And_Fake_User_Identification_on_Social_Media_ijariie14000.pdf (Accessed : 13 May 2021).
Harvard Srihariharan T, Shanmuga Surya S, and Senthilraja P. (2021) 'Spammer Detection And Fake User Identification on Social Media', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1150-1153IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Spammer_Detection_And_Fake_User_Identification_on_Social_Media_ijariie14000.pdf (Accessed : 13 May 2021)
IEEE Srihariharan T, Shanmuga Surya S, and Senthilraja P, "Spammer Detection And Fake User Identification on Social Media," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1150-1153, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Spammer_Detection_And_Fake_User_Identification_on_Social_Media_ijariie14000.pdf [Accessed : 13 May 2021].
Turabian Srihariharan T, Shanmuga Surya S, and Senthilraja P. "Spammer Detection And Fake User Identification on Social Media." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 (13 May 2021).
Vancouver Srihariharan T, Shanmuga Surya S, and Senthilraja P. Spammer Detection And Fake User Identification on Social Media. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 13 May 2021]; 7(2) : 1150-1153. Available from: https://ijariie.com/AdminUploadPdf/Spammer_Detection_And_Fake_User_Identification_on_Social_Media_ijariie14000.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/13/2021 11:14:53 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
MULTIPLE DISEASE PREDICTION AND DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNINGCOMPUTER ENGINEERING DR. J. AMUTHARAJ Download
SOLAR TRACKING SYSTEM WITH WEATHER FORECASTING AND AUTOMATED CLEANING SYSTEMArtificial Intelligence Electrical and Electronics EngineeringVanarasan S Download
ASD PredictionComputer scienceAbhilasha M Download
Music Recommendation based on Face Emotion Using Artificial Intelligence and Machine LearningInformation Science EngineeringDr. Sreenivasa Murthy V Download
SMART TRAFFIC AI MONITORING SYSTEM-AI/MLINFORMATION SCIENCE AND ENGINEERING PRIYANKA MT Download
SHADOW THE WEB BROWSERComputer Science and EngineeringLakshmi Narayan S Download
SECUHIRE – AI-POWERED INTERVIEW DETECTION SYSTEMComputer Engineering Tharun R Download
Early Detection Of Electrical Fault Line Using Artificial IntelligenceElectrical Engineering , Computer Science , Artificial IntelligenceRakshitha R Download
Real Time Object Detection Tracking using YOLO and Deep SORTInformation science and engineeringNandan M R Download
An AI-Integrated Intelligent Health Advisory System with Machine-Learning-Based Ayurvedic Formulation RecommendationInformation Science EngineeringSrinidhi G Download
Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS Information Science and EngineeringVarun V Download
Precision Agriculture Using Machine Learning and IOTComputer Science and EngineeringRamesh B E Download
A Secure Blockchain Based Voting SystemComputer Science and EngineeringSagar K R Download
Chatbot based helpdesk for Government employee and departmentsComputer science & Engineering(Cyber Security Engineerting)Dr. Shanthi S Download
Zero Trust ArchitectureComputer EngineeringAditya Yanna Download
12