IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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LEVERAGING –RAG FOR SOCIAL MEDIA SENTIMENT ANALYSISAND TREND DETECTION

AUTHORS:
M. Siva Harsan
Selva Birunda S
Kaliappan M
Mentor
Affiliation
Department of Artificial Intelligence and Data Science, Ramco Institute of Technology, Rajapalayam, Tamil Nadu, India
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

These days, hosting user-generated content analysis is largely dependent on social media platforms. Because datasets are growing so quickly, analysts frequently struggle to comprehend large sentiments, trending topics, and public opinions. Even though social media offers several analytics tools, manually browsing and understanding datasets is difficult and time-consuming. For businesses and researchers who need real-time insights, this problem becomes more difficult.

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Harsan, M. S., S, S. B. & M, K. (2026). Leveraging –Rag for Social Media Sentiment Analysisand Trend Detection. International Journal of Science, Strategic Management and Technology, 02(03). https://doi.org/10.55041/ijsmt.v2i3.353

Harsan, M., et al.. "Leveraging –Rag for Social Media Sentiment Analysisand Trend Detection." International Journal of Science, Strategic Management and Technology, vol. 02, no. 03, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i3.353.

Harsan, M.,Selva S, and Kaliappan M. "Leveraging –Rag for Social Media Sentiment Analysisand Trend Detection." International Journal of Science, Strategic Management and Technology 02, no. 03 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i3.353.

References

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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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