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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Vydané v:	2024 International Conference on Automation and Computation (AUTOCOM) s. 1 - 6
Hlavní autori:	Rawat, Priyanshu, Mehta, Shreshtha, Bajaj, Madhvan, Saklani, Rishabh, Purohit, Karan, Manwal, Manika
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 14.03.2024
Predmet:	Information retrieval natural language processing Natural languages Query processing Real-time systems semantic search Sentiment analysis Soft sensors System performance user queries
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