A Multi-Source Information Retrieval System for Question Answering with Sentiment Analysis and LLM Interpretation

In the era of ubiquitous digital information, question-answering systems have become indispensable tools for accessing and extracting knowledge from vast datasets. This research explores the design, implementation, and evaluation of a question-answering system capable of processing user queries, ret...

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Bibliographic Details

Published in:	2024 International Conference on Automation and Computation (AUTOCOM) pp. 1 - 6
Main Authors:	Rawat, Priyanshu, Mehta, Shreshtha, Bajaj, Madhvan, Saklani, Rishabh, Purohit, Karan, Manwal, Manika
Format:	Conference Proceeding
Language:	English
Published:	IEEE 14.03.2024
Subjects:	Information retrieval natural language processing Natural languages Query processing Real-time systems semantic search Sentiment analysis Soft sensors System performance user queries
Online Access:	Get full text
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