Neutrosophic Logic-Based Document Summarization

O. G. El Barbary, Radwan Abu Gdairi and Broumi Said

Journal of Mathematics, 2021, vol. 2021, 1-7

Abstract: Nowadays, rich quantity of information is offered on the Net which makes it hard for the clients to detect necessary information. Programmed techniques are desirable to effectively filter and search useful data from the Net. The purpose of purported text summarization is to get satisfied content handling with information variety. The main factor of document summarization is to extract benefit feature. In this paper, we extract word feature in three group called important words. Also, we extract sentence feature depending on the extracted words. With increasing knowledge on the Internet, it turns out to be an extremely time-consuming, exhausting, and boring mission to read the whole content and papers and get the relevant information on precise topics

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:9938693

DOI: 10.1155/2021/9938693

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