WEB BASED DOCUMENT RETRIEVAL USING ADVANCED CBRS
Multi-document summarization is an automatic procedure aimed at extraction of infor-mation from multiple texts written about the same topic. Resulting summary report al-lows individual users, such as professional information consumers, to quickly familiar-ize themselves with information contained in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Juraj Dobrila University of Pula
2017-12-01
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| Series: | Review of Innovation and Competitiveness |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/282122 |
| Summary: | Multi-document summarization is an automatic procedure aimed at extraction of infor-mation from multiple texts written about the same topic. Resulting summary report al-lows individual users, such as professional information consumers, to quickly familiar-ize themselves with information contained in a large cluster of documents. This pro-posed work CBRS (Cluster Based Ranking with Significance) summarizes the multi document with semantic meaning of the terms in the documents. Such that it produces a good results while clustering and ranking with retrieving document. As a clustering result to improve or refine the sentence ranking results. The effectiveness of the pro-posed approach is demonstrated by both the cluster quality analysis and the summari-zation evaluation conducted on our simulated datasets. |
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| ISSN: | 1849-8795 1849-9015 |