Universiti Teknologi Malaysia Institutional Repository

Automatic text summarization using feature based fuzzy extraction

Suanmali, Ladda and Salim, Naomie and Binwahlan, Mohammed Salem (2008) Automatic text summarization using feature based fuzzy extraction. Jurnal Teknologi Maklumat, 20 (2). pp. 105-115. ISSN 0128-3790

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Automatic text summarization is to compress the original text into a shorter version and help the user to quickly understand large volumes of information. This paper focuses on the automatic text summarization by sentence extraction with important features based on fuzzy logic. In our experiment, we used 6 test documents in DUC2002 data set. Each document is prepared by preprocessing process: sentence segmentation, tokenization, remuving Stop Word and stemming Word. Then, we use 8 important features and calculate their score for each sentence. We propose a method using fuzzy logic for sentence extraction and compare our result with the baseline summarizer and Microsoft Word 2007 summarizers. The results show that the highest average precision, recall, and F-mean for the summaries are conducted from fuzzy method.

Item Type:Article
Uncontrolled Keywords:automatic text summarization, fuzzy logic, sentence extraction
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Computer Science and Information System (Formerly known)
ID Code:9426
Deposited By: Zalinda Shuratman
Deposited On:24 Nov 2009 01:56
Last Modified:01 Nov 2017 04:17

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