|
|||||||||||||||
|
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
||||||||||||||
Issue: May 2024
Volume 9 | Issue 5
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.76
Issue per Year : 12
Volume Published : 9
Issue Published : 96
Article Submitted :
Article Published :
Total Authors :
Total Reviewer :
Total Countries :
Indexing Partner
Join RMS/Earn 300
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | UNDERSTANDING AUDIENCE SENTIMENT: A COMPREHENSIVE SENTIMENT ANALYSIS SYSTEM FOR YOUTUBE COMMENTS |
| Authors Name: | Pandhare Nilesh , Akshay Londhe , Lokesh Wani , Vaibhav Waghmare , Prof. M. S. Bhosale |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_217984
|
| Published Paper Id: | IJNRD2404353 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | This paper introduces a sentiment analysis system tailored for YouTube comments, leveraging the Random Forest algorithm for sentiment classification. The system automates the categorization of comments into positive, negative, or neutral sentiments, offering valuable insights into audience sentiment towards video content. The study encompasses data collection, preprocessing, model training, evaluation, and result visualization. Results demonstrate the efficacy of Random Forest in accurately categorizing comments and visualizing sentiment distribution. Non-standard abbreviations are avoided, and the abstract stands independently without references or citations. The paper encourages further exploration of Random Forest in sentiment analysis for online platforms like YouTube |
| Keywords: | Sentiment analysis, YouTube comments, Random Forest, Machine learning, Data visualization |
| Cite Article: | "UNDERSTANDING AUDIENCE SENTIMENT: A COMPREHENSIVE SENTIMENT ANALYSIS SYSTEM FOR YOUTUBE COMMENTS", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.d464-d471, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404353.pdf |
| Downloads: | 00028 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
| Publication Details: |
Published Paper ID:IJNRD2404353 Registration ID: 217984 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: d464-d471 Country: Pune, maharastra, India Research Area: Information Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404353 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404353 |
| Share Article: |
|
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijnrd.org
| Semantic Scholar | Microsaoft Academic | ORCID | Zenodo |
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | PUBLON |
| DRJI | SSRN | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Social Media
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Join RMS/Earn 300
| Copyright © 2024 - All Rights Reserved - IJNRD |
Facebook Twitter Instagram LinkedIn