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http://dx.doi.org/10.6109/jkiice.2019.23.4.401

Document Analysis based Main Requisite Extraction System  

Lee, Jongwon (Department of Computer Engineering, Paichai University)
Yeo, Ilyeon (Department of Computer Engineering, Paichai University)
Jung, Hoekyung (Department of Computer Engineering, Paichai University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.23, no.4, 2019 , pp. 401-406 More about this Journal
Abstract
In this paper, we propose a system for analyzing documents in XML format and in reports. The system extracts the paper or reports of keywords, shows them to the user, and then extracts the paragraphs containing the keywords by inputting the keywords that the user wants to search within the document. The system checks the frequency of keywords entered by the user, calculates weights, and removes paragraphs containing only keywords with the lowest weight. Also, we divide the refined paragraphs into 10 regions, calculate the importance of the paragraphs per region, compare the importance of each region, and inform the user of the main region having the highest importance. With these features, the proposed system can provide the main paragraphs with higher compression ratio than analyzing the papers or reports using the existing document analysis system. This will reduce the time required to understand the document.
Keywords
Paragraph Extraction; Document Analysis; Sequence Maintenance; Deduplication; Keyword;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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