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Iranian Journal of Fuzzy Systems، جلد ۷، شماره ۳، صفحات ۱۵-۳۲
عنوان فارسی EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
چکیده فارسی مقاله Due to the explosive growth of the world-wide web, automatic
text summarization has become an essential tool for web users. In this paper
we present a novel approach for creating text summaries. Using fuzzy logic
and word-net, our model extracts the most relevant sentences from an original
document. The approach utilizes fuzzy measures and inference on the
extracted textual information from the document to find the most significant
sentences. Experimental results reveal that the proposed approach extracts
the most relevant sentences when compared to other commercially available
text summarizers. Text pre-processing based on word-net and fuzzy analysis
is the main part of our work.
کلیدواژه‌های فارسی مقاله Extraction، Fuzzy logic، Text summarization، Word-net،
عنوان انگلیسی EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS
چکیده انگلیسی مقاله Due to the explosive growth of the world-wide web, automatic
text summarization has become an essential tool for web users. In this paper
we present a novel approach for creating text summaries. Using fuzzy logic
and word-net, our model extracts the most relevant sentences from an original
document. The approach utilizes fuzzy measures and inference on the
extracted textual information from the document to find the most significant
sentences. Experimental results reveal that the proposed approach extracts
the most relevant sentences when compared to other commercially available
text summarizers. Text pre-processing based on word-net and fuzzy analysis
is the main part of our work.
کلیدواژه‌های انگلیسی مقاله Extraction, Fuzzy logic, Text summarization, Word-net
نویسندگان مقاله Farshad Kyoomarsi |
Islamic Azad University of Shahrekord branch, Shahrekord, Iran

Hamid Khosravi |
Shahid Bahonar University of Kerman, International Center for Science and High Technology and Environmental Sciences, Kerman, Iran

Esfandiar Eslami |
Shahid Bahonar University of Kerman, The centre of Excellence for Fuzzy system and applications, Kerman, Iran

Mohsen Davoudi |
Department of Energy, Electrical Engineering division, Politecnico di Milano, Milan, Italy

نشانی اینترنتی http://ijfs.usb.ac.ir/article_185_f4f468a4b5cdae3e759f5223e8ee8f43.pdf
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