Bridging Emotions and Architecture: Sentiment Analysis in Modern Distributed Systems
Year: 2025
Type: preprint
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.
Source: arXiv (Cornell University)
Authors: Shah, Mahak, Hazarika, Akaash Vishal, Malhotra, Meetu, Patil, Sachin C., Mohanty, Joshit
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6929375908
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