|
|||||||||||||||
|
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: | YouTube Comment Analyzer |
| Authors Name: | Shubham Pareek , Yash Vijay Vargiya , Sudhanshu Agarwal , Laxmikant Vashista |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_219348
|
| Published Paper Id: | IJNRD2404744 |
| Published In: | Volume 9 Issue 4, April-2024 |
| DOI: | |
| Abstract: | In the contemporary digital landscape, the abundance of user-generated comments on various online platforms presents a formidable challenge for manual analysis. Comment analyzers, leveraging advanced technologies like natural language processing (NLP) and machine learning, offer automated solutions to extract valuable insights from this textual data deluge. This paper aims to explore the significance, functionality, applications, challenges, and ethical considerations of comment analyzers. Through real-world examples and discussions on privacy, bias, and responsible use, this research provides insights into leveraging comment analyzers for informed decision-making and improved user engagement. By synthesizing academic research and industry insights, this paper contributes to a deeper understanding of the role of comment analyzers in shaping digital communication and informs future research and practical implementations in this rapidly evolving field. |
| Keywords: | Natural language processing (NLP), Sentiment analysis, User-generated content, Text analytics |
| Cite Article: | "YouTube Comment Analyzer ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h374-h378, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404744.pdf |
| Downloads: | 00040 |
| 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:IJNRD2404744 Registration ID: 219348 Published In: Volume 9 Issue 4, April-2024 DOI (Digital Object Identifier): Page No: h374-h378 Country: JAIPUR, Rajasthan, India Research Area: Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404744 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404744 |
| 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