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YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence

Trupti Lonkar1 , Tejali Katkar2 , Manasi Karajgar3 , Ganesh Lonkar4 , Shradha Shelar5

  1. Dept. of Artificial Intelligence and Data Science /Faculty, Dr. D Y Patil College of Engineering, Akurdi, Pune, India.
  2. Dept. of Artificial Intelligence and Data Science /Faculty, Dr. D Y Patil College of Engineering, Akurdi, Pune, India.
  3. Dept. of Artificial Intelligence and Data Science /Faculty, Dr. D Y Patil College of Engineering, Akurdi, Pune, India.
  4. Dept. of Research and Development /Postdoc, MIT- World Peace University, Kothrud, Pune, India.
  5. Shraddha Shelar, Python (DevOps) Developer, Synechron, Pune, India.

Section:Research Paper, Product Type: Journal Paper
Volume-12 , Issue-12 , Page no. 1-14, Dec-2024

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v12i12.114

Online published on Dec 31, 2024

Copyright © Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar, “YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence,” International Journal of Computer Sciences and Engineering, Vol.12, Issue.12, pp.1-14, 2024.

MLA Style Citation: Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar "YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence." International Journal of Computer Sciences and Engineering 12.12 (2024): 1-14.

APA Style Citation: Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar, (2024). YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence. International Journal of Computer Sciences and Engineering, 12(12), 1-14.

BibTex Style Citation:
@article{Lonkar_2024,
author = {Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar},
title = {YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2024},
volume = {12},
Issue = {12},
month = {12},
year = {2024},
issn = {2347-2693},
pages = {1-14},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5745},
doi = {https://doi.org/10.26438/ijcse/v12i12.114}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v12i12.114}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5745
TI - YouTube Comments Analyzer Using Natural Language Processing And Artificial Intelligence
T2 - International Journal of Computer Sciences and Engineering
AU - Trupti Lonkar, Tejali Katkar, Manasi Karajgar, Ganesh Lonkar, Shradha Shelar
PY - 2024
DA - 2024/12/31
PB - IJCSE, Indore, INDIA
SP - 1-14
IS - 12
VL - 12
SN - 2347-2693
ER -

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Abstract

The exponential growth of online video content has propelled YouTube to the forefront of digital media platforms, where creators and viewers converge in a vibrant ecosystem. However, amidst the proliferation of videos, the accompanying surge in viewer comments poses a significant challenge for content creators and researchers alike. Manually sifting through this deluge of comments to gauge sentiment and understand audience feedback is increasingly untenable. To address this challenge, this manuscript introduces an automated tool, the YouTube Comment Analyzer, designed to efficiently extract and analyze comments on YouTube videos, categorizing them based on sentiment.

Key-Words / Index Term

Natural language processing, Analyze, Real-time Data acquisition, Human Sentiments, YouTube, Comments, Videos, Digital Media Creators

References

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