International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
Indexing Partners
Emotion and Sentiment Analysis Tool for Social Media Monitoring
| Author(s) | Ms. Mausam Harendrasinh Rana, Dr. Sushma Ghode, Dr. Chaitanya Singh |
|---|---|
| Country | India |
| Abstract | In the contemporary digital landscape, social media has emerged as a paramount platform where individuals express opinions, emotions, and sentiments regarding products, services, and brands. Harnessing this vast ocean of unstructured data presents both challenges and opportunities for organizations seeking to manage brand reputation and optimize customer engagement. This dissertation presents the development and evaluation of an automated emotion and sentiment analysis tool integrated with a real-time monitoring dashboard designed to track brand sentiment across major social media platforms. Leveraging advanced natural language processing techniques and machine learning models, including transformer-based architectures, the system processes textual data to classify sentiment polarity and detect emotions in real-time. The dashboard visualizes insights through interactive graphs, heatmaps, and alert mechanisms, enabling companies to respond promptly to emerging trends and crises. Extensive experiments demonstrate the model’s efficacy and practical utility in real-world brand monitoring scenarios. This work contributes a scalable, accurate, and actionable solution central to data-driven brand management in the age of social media. |
| Keywords | Keywords: Social media, emotion analysis, sentiment analysis, brand reputation, customer engagement, unstructured data, real-time monitoring, dashboard visualization, natural language processing, machine learning, transformer architectures, sentiment polarity, |
| Field | Engineering |
| Published In | Volume 8, Issue 2, March-April 2026 |
| Published On | 2026-04-14 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i02.74452 |
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E-ISSN 2582-2160
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