ISSN2456-3315
Impact Factor10.57
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ESTD2016
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AccessOpen
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Paper Title
Social Media Insights to decode public sentiment during Political Elections
Authors
Jovin Gnanaraj , Yogavind Sarte , Dr. Harshali Patil , Dr. Jyotshna Dongardive
Keywords
Social media, Sentiment analysis, Political elections, Public opinion
Abstract
Social media platforms have become a significant source of information and communication during political elections. This research paper aims to analyze social media data to gain insights into public sentiment and its impact on political campaigns. By leveraging data science techniques, sentiment analysis, and machine learning algorithms, we aim to understand the dynamics of public opinion, identify influential factors, and predict election outcomes based on social media sentiment.
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How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Social Media Insights to decode public sentiment during Political Elections", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 2, page no.64 - 70, February-2024, Available :https://ijrti.org/papers/IJRTI2402012.pdf
APA — 7th edition
Gnanaraj, J., Sarte, Y., Patil, H., & Dongardive, J. (2024). Social Media Insights to decode public sentiment during Political Elections. International Journal for Research Trends and Innovation, 9(2), 64 - 70. https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012
MLA — 9th edition
Gnanaraj, Jovin, et al. "Social Media Insights to decode public sentiment during Political Elections." International Journal for Research Trends and Innovation, vol. 9, no. 2, 2024, pp. 64 - 70, https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012.
Chicago — 17th, bibliography
Gnanaraj, Jovin, et al. "Social Media Insights to decode public sentiment during Political Elections." International Journal for Research Trends and Innovation 9, no. 2 (2024): 64 - 70. https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012.
Harvard — author–date
Gnanaraj, J. et al. (2024) 'Social Media Insights to decode public sentiment during Political Elections', International Journal for Research Trends and Innovation, 9(2), pp. 64 - 70. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012
IEEE — numbered reference
J. Gnanaraj, Y. Sarte, H. Patil and J. Dongardive, "Social Media Insights to decode public sentiment during Political Elections," IJRTI, vol. 9, no. 2, pp. 64 - 70, Feb. 2024.
Vancouver — biomedical
Gnanaraj J, Sarte Y, Patil H, Dongardive J. Social Media Insights to decode public sentiment during Political Elections. IJRTI. 2024 Feb;9(2):64 - 70.
AMA — 11th edition
Gnanaraj J, Sarte Y, Patil H, Dongardive J. Social Media Insights to decode public sentiment during Political Elections. IJRTI. 2024;9(2):64 - 70. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2402012,
author = {Jovin Gnanaraj and Yogavind Sarte and Harshali Patil and Jyotshna Dongardive},
title = {Social Media Insights to decode public sentiment during Political Elections},
journal = {International Journal for Research Trends and Innovation},
volume = {9},
number = {2},
pages = {64 - 70},
year = {2024},
month = {February},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Gnanaraj, Jovin
AU - Sarte, Yogavind
AU - Patil, Harshali
AU - Dongardive, Jyotshna
TI - Social Media Insights to decode public sentiment during Political Elections
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 9
IS - 2
PY - 2024
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012
SP - 64
EP - 70
ER -
Issue
Volume 9 Issue 2,
February-2024
Pages : 64 - 70
Other Publication Details
Paper Reg. ID
IJRTI_189148
Published Paper ID
IJRTI2402012
Downloads
205,638
Research Area
Computer Science & TechnologyÂ
Country
Mumbai, Maharashtra, India
Published
February 2024
Published Paper PDF
https://ijrti.org/papers/IJRTI2402012.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2402012
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
