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Text Summarization Using Semantic Technique

Linh Chi, Nguyen Thi (2011) Text Summarization Using Semantic Technique. Universiti Teknologi Petronas. (Unpublished)

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This work proposes semantic technique as a new approach for text summarization of online news/ journal articles. This text summarization project contains two part: parsing and semantic analysis. At first, for the parsing, we set up criteria to evaluate importance of sentences within text such as position, length. According to this, only sentences with high score of importance will be selected. The number of sentence selected depends on how much compact that users expect summary output would be. System combines those sentences into summary draft. Second part is semantic analysis; the technique we use here is lexical semantic approach. During this part, system will use Word Net lexical database to analyze words within summary draft. This database had words linked through semantic relations such as synonym, antonym, hyponymy, and more. Our project would end up by evaluation process. We evaluate accuracy of summary output, also compare and find differences between human summary work and system result. 4

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: T Technology > T Technology (General)
Divisions: Sciences and Information Technology
Depositing User: Users 2053 not found.
Date Deposited: 09 Oct 2013 11:07
Last Modified: 25 Jan 2017 09:42
URI: http://utpedia.utp.edu.my/id/eprint/8733

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