Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (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)
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.
Keywords:
Social media, Sentiment analysis, Political elections, Public opinion
Cite Article:
"Social Media Insights to decode public sentiment during Political Elections", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 2, page no.64 - 70, February-2024, Available :http://www.ijrti.org/papers/IJRTI2402012.pdf
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000205088
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator