Real-Time Multilingual Sentiment Analysis and Event Prediction Using Scalable NLP and Big Data Frameworks

Sunil Kumar, Anusha Kalburgikar, J. S. Jaslin, V. Srimathi, Allam Balaram, Dhanush R.

2025

Abstract

In this work, we build a real-time multilingual sentiment analysis and event prediction platform utilizing state-of-the-art NLP and scalable big data architecture. The solution leverages deep learning-based models and combines them with distributed processing tools such as Apache Spark to successfully extract dynamic public sentiments across a wide-range of social media sources. In contrast to the use of static analysis or small-scale data, trend prediction is based on dynamic and context-aware processing with a view to promising a timely and accurate trend forecast over different domains. The model shows robustness in handling short-text, noise and multilingual data, which allows it to be used in a wide range of applications including crisis management, political forecasting and marketing. Experimental results demonstrate that we achieve higher performances in sentiment classification, event detection and scalability, making it a solid building block for real-world social data mining.

Paper Citation

in Harvard Style

Kumar S., Kalburgikar A., Jaslin J., Srimathi V., Balaram A. and R. D. (2025). Real-Time Multilingual Sentiment Analysis and Event Prediction Using Scalable NLP and Big Data Frameworks. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 705-712. DOI: 10.5220/0013871600004919

in Bibtex Style

@conference{icrdicct`2525,
author={Sunil Kumar and Anusha Kalburgikar and J. Jaslin and V. Srimathi and Allam Balaram and Dhanush R.},
title={Real-Time Multilingual Sentiment Analysis and Event Prediction Using Scalable NLP and Big Data Frameworks},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25},
year={2025},
pages={705-712},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013871600004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - Volume 1: ICRDICCT`25
TI - Real-Time Multilingual Sentiment Analysis and Event Prediction Using Scalable NLP and Big Data Frameworks
SN - 978-989-758-777-1
AU - Kumar S.
AU - Kalburgikar A.
AU - Jaslin J.
AU - Srimathi V.
AU - Balaram A.
AU - R. D.
PY - 2025
SP - 705
EP - 712
DO - 10.5220/0013871600004919
PB - SciTePress