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: :  ML Based Spam Comments Detection on Youtube
PaperId: :  23554
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23554
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Darshini CDon Bosco Institute of Technology
Amrutha Varshini V L Don Bosco Institute of Technology
Bi Bi FathimaDon Bosco Institute of Technology
Darshini N Don Bosco Institute of Technology
Prof. R YashodaraDon Bosco Institute of Technology
Prof. Divyashree K Don Bosco Institute of Technology

Abstract

Information Science & Engineering
ML evaluation, ML techniques, Naïve bayes, decision tree, MLP classifier.
The rise of spam comments on platforms like YouTube has become a significant concern, as they not only hinder genuine user engagement but also pose serious risks to users' safety and privacy. Machine Learning (ML) offers a powerful solution to combat spam comments by automating the process of detecting and preventing them. With the ability to analyse vast amounts of data and patterns, ML algorithms can effectively distinguish between legitimate comments and those that are spam. One of the commonly employed approaches in ML for spam comment detection is the Naive Bayes classification algorithm. Naive Bayes is a probabilistic algorithm that calculates the likelihood of a comment being spam based on its characteristics and the occurrence of specific keywords or phrases that are typical of spam content. By training the algorithm on a labelled dataset of spam and non-spam comments, it can learn to recognize patterns and generalize its understanding to new, unseen comments. Achieving a detection accuracy of 92.78% is indeed promising, but researchers and developers continue to explore other ML techniques and combinations to further improve the accuracy and robustness of spam comment detection systems. Ensemble methods, deep learning, and natural language processing (NLP) techniques are among the advanced ML approaches gaining attention in this domain. One crucial aspect of an effective spam detection system is its adaptability and responsiveness to emerging spam tactics.

Citations

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

IJARIIE Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 5526-5530
MLA Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 5526-5530.
APA Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, & Prof. Divyashree K . (2024). ML Based Spam Comments Detection on Youtube. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 5526-5530.
Chicago Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 5526-5530.
Oxford Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . 'ML Based Spam Comments Detection on Youtube', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 5526-5530. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf (Accessed : ).
Harvard Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . (2024) 'ML Based Spam Comments Detection on Youtube', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 5526-5530IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf (Accessed : )
IEEE Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K , "ML Based Spam Comments Detection on Youtube," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 5526-5530, Mar-App 2024. [Online]. Available: http://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf [Accessed : ].
Turabian Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . "ML Based Spam Comments Detection on Youtube." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver Darshini C, Amrutha Varshini V L , Bi Bi Fathima, Darshini N , Prof. R Yashodara, and Prof. Divyashree K . ML Based Spam Comments Detection on Youtube. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 5526-5530. Available from: http://ijariie.com/AdminUploadPdf/ML_Based_Spam_Comments_Detection_on_Youtube_ijariie23554.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Exploring the Intersection between Nigeria’s Cyber policy and National Security: An Examination of International Cooperation, Legal Frameworks and Regulatory ComplianceCyber security and legal frameworksAmaefule I.A Download
IoT-Based Elderly Emergency Health Monitoring System integrated with a Smart Ambulance mechanismInformation TechnologyRJ Shinde Download
Decentralized Voting System Using Ethereum BlockchainInformation Science and EngineeringDr. D. SIVAKUMAR Download
Enhancing Historical Consciousness through Digital Storytelling among Grade 11 General Academic Strand Students of Purisima National High School”SOCIAL SCIENCECHARITY P. CANONIGO Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
WEALTH: YOUR SMART EXPENSE TRACKER AND FINANCIAL ADVISORInformation TechnologyPratiksha Mankar Download
Brain Tumor DetectionBrain Tumor Detection Using PythonPallavi Gajbhiye Download
SUVIDHA An E-commerce website for Local LaboursInformation Technology Aman Milind Mandape Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning, TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
EDUNEXUS – A Student Development ApplicationInformation TechnologyNamrata Kanhole Download
Review on Festagram: An Event Management System for CollegesInformation science and engineeringAdarsh Download
Deep Learning Based 3D Object Detection and Pose EstimationComputer EngineeringPayal Behune Download
AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road ParametersInformation Technology EngineeringAniket Ubale Download
SMART EXPIRY DATE TRACKER WITH FOOD RECOMMENDATIONSInformation Science and EngineeringMr Pradeep Nayak Download
A REVIEW ON ABSTRACTIVE MEETING SUMMARIZATION: TOWARDS SMARTER MEETING ASSISTANTSInformation Science and EngineeringKratika Sudarshan Halankar Download
12