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arXiv · 2503.18260

Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems

Mahak Shah·Akaash Vishal Hazarika·Meetu Malhotra·Sachin C. Patil·Joshit Mohanty
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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.

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Mahak Shah, Akaash Vishal Hazarika, Meetu Malhotra, Sachin C. Patil, Joshit Mohanty. 2025-03-24. Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems. https://arxiv.org/abs/2503.18260

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