Doc Query: Intelligent Document Analysis and Question Answering Software

Intelligent Document Analysis and Question Answering (IDAQA) software automates literature searches and provides accurate answers to user questions. The IDAQA system uses natural language processing and machine learning, extracts key information from documents, and improves accessibility. The IDAQA system smartly extracts the necessary information required for the user from diverse documents enhancing accessibility and comprehension.This system has wide use-case especially in the academic field, as well as beneficial to extract certain part of information present in the pdf which necessary for the user. This paper analyses the importance, technique, and aftereffects of IDAQA, tending to difficulties and future possibilities for transforming narrative discussions. This paper discusses about the significance of the system, proposed model and also the result analysis.

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Publication Details

Published
2024-10-19
DOI
https://doi.org/10.1109/icccmla63077.2024.10871377
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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Doc Query: Intelligent Document Analysis and Question Answering Software

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Doc Query: Intelligent Document Analysis and Question Answering Software

Pradnya Sulas Borkar, Sagarkumar S. Badhiye, Chinmay Gandhewar, Kaivalya Sawant, Jay Chafale
article en
1 citations

Abstract

Intelligent Document Analysis and Question Answering (IDAQA) software automates literature searches and provides accurate answers to user questions. The IDAQA system uses natural language processing and machine learning, extracts key information from documents, and improves accessibility. The IDAQA system smartly extracts the necessary information required for the user from diverse documents enhancing accessibility and comprehension.This system has wide use-case especially in the academic field, as well as beneficial to extract certain part of information present in the pdf which necessary for the user. This paper analyses the importance, technique, and aftereffects of IDAQA, tending to difficulties and future possibilities for transforming narrative discussions. This paper discusses about the significance of the system, proposed model and also the result analysis.

Symbiosis International University (IN)
Openalex Percentile: Top 29%
Natural Language Processing Techniques
0.35
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