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EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 3، دوره 7، شماره 3، دی 2010، صفحه 15-32 اصل مقاله (757.44 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2010.185 | ||
| نویسندگان | ||
| Farshad Kyoomarsi1؛ Hamid Khosravi2؛ Esfandiar Eslami3؛ Mohsen Davoudi* 4 | ||
| 1Islamic Azad University of Shahrekord branch, Shahrekord, Iran | ||
| 2Shahid Bahonar University of Kerman, International Center for Science and High Technology and Environmental Sciences, Kerman, Iran | ||
| 3Shahid Bahonar University of Kerman, The centre of Excellence for Fuzzy system and applications, Kerman, Iran | ||
| 4Department of Energy, Electrical Engineering division, Politecnico di Milano, Milan, Italy | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| Extraction؛ Fuzzy logic؛ Text summarization؛ Word-net | ||
| مراجع | ||
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