Automatic text summarization using feature based fuzzy extraction

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...

Full description

Bibliographic Details
Main Authors: Suanmali, Ladda, Salim, Naomie, Binwahlan, Mohammed Salem
Format: Article
Language:English
Published: Penerbit UTM Press 2008
Subjects:
Online Access:http://eprints.utm.my/9426/1/NaomieSalim2008_AutomaticTextSummarizationUsingFeature-Based.pdf
_version_ 1796854511115960320
author Suanmali, Ladda
Salim, Naomie
Binwahlan, Mohammed Salem
author_facet Suanmali, Ladda
Salim, Naomie
Binwahlan, Mohammed Salem
author_sort Suanmali, Ladda
collection ePrints
description 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.
first_indexed 2024-03-05T18:15:09Z
format Article
id utm.eprints-9426
institution Universiti Teknologi Malaysia - ePrints
language English
last_indexed 2024-03-05T18:15:09Z
publishDate 2008
publisher Penerbit UTM Press
record_format dspace
spelling utm.eprints-94262017-11-01T04:17:23Z http://eprints.utm.my/9426/ Automatic text summarization using feature based fuzzy extraction Suanmali, Ladda Salim, Naomie Binwahlan, Mohammed Salem QA76 Computer software 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. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/9426/1/NaomieSalim2008_AutomaticTextSummarizationUsingFeature-Based.pdf 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
spellingShingle QA76 Computer software
Suanmali, Ladda
Salim, Naomie
Binwahlan, Mohammed Salem
Automatic text summarization using feature based fuzzy extraction
title Automatic text summarization using feature based fuzzy extraction
title_full Automatic text summarization using feature based fuzzy extraction
title_fullStr Automatic text summarization using feature based fuzzy extraction
title_full_unstemmed Automatic text summarization using feature based fuzzy extraction
title_short Automatic text summarization using feature based fuzzy extraction
title_sort automatic text summarization using feature based fuzzy extraction
topic QA76 Computer software
url http://eprints.utm.my/9426/1/NaomieSalim2008_AutomaticTextSummarizationUsingFeature-Based.pdf
work_keys_str_mv AT suanmaliladda automatictextsummarizationusingfeaturebasedfuzzyextraction
AT salimnaomie automatictextsummarizationusingfeaturebasedfuzzyextraction
AT binwahlanmohammedsalem automatictextsummarizationusingfeaturebasedfuzzyextraction