Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems
Abstract
Sentiment analysis is a field within NLP that has gained importance because it is applied in various areas such as; social media surveillance, customer feedback evaluation and market research. At the same time, distributed systems allow for effective processing of large amounts of data. Therefore, this paper examines how sentiment analysis converges with distributed systems by concentrating on different approaches, challenges and future investigations. Furthermore, we do an extensive experiment where we train sentiment analysis models using both single node configuration and distributed architecture to bring out the benefits and shortcomings of each method in terms of performance and accuracy.
Cite
@article{arxiv.2503.18260,
title = {Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems},
author = {Mahak Shah and Akaash Vishal Hazarika and Meetu Malhotra and Sachin C. Patil and Joshit Mohanty},
journal= {arXiv preprint arXiv:2503.18260},
year = {2025}
}
Comments
IEEE 3rd International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)