International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 2 (March-April 2025) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 2
March-April 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Deciphering Sentiment Fluctuations in Real-Time Social Media Discourse During Product Launch Events

Author(s) J. John Samuel, N. Sumathi, C. Nandhini
Country India
Abstract Real-time public mood analysis has become essential in the age of social media's quick information distribution for a variety of purposes, from crisis management to marketing. In order to capture the subtleties of sentiment during events or particular occurrences, this research suggests a novel method for real-time sentiment analysis on social media. We provide Event-driven Sentiment Analysis (ESA), a methodology that leverages Event-Specific Text Models (ESTMs) to dynamically adapt to evolving topics and events. Because these models are trained on event-specific data, they can effectively capture changes in sentiment at various stages of an event's lifecycle. With the use of natural language processing and machine learning, ESA offers a scalable solution for opinion mining on social media sites. We offer experimental results that highlight the potential uses of ESA in a variety of domains, such as market trend analysis, crisis response, and brand monitoring. These results highlight the effectiveness of ESA in recording and assessing sentiment in real-time. We also address the benefits and difficulties of implementing ESA in real-world contexts and suggest future paths for event-driven sentiment analysis research.
Keywords Sentiment analysis, social media, Real-time, Event-driven, Opinion mining, ESTMs, NLP.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-03
DOI https://doi.org/10.36948/ijfmr.2025.v07i02.38136
Short DOI https://doi.org/g86wpf
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 2Cover Page Vol 7 Isu 1Cover Page Vol 6 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com