MULTI-DOCUMENT TEXT SUMMARIZATION USING CLUSTERING TECHNIQUES AND LEXICAL CHAINING
This paper investigates the use of clustering and lexical chains to produce coherent summaries of multiple documents in text format to generate an indicative, less redundant summary. The summary is designed as per user’s requirement of conciseness i.e., the documents are summarized according to the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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ICT Academy of Tamil Nadu
2010-07-01
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| Series: | ICTACT Journal on Soft Computing |
| Subjects: | |
| Online Access: | http://ictactjournals.in/paper/ijsc4_page_23-29.pdf |
| Summary: | This paper investigates the use of clustering and lexical chains to produce coherent summaries of multiple documents in text format to generate an indicative, less redundant summary. The summary is designed as per user’s requirement of conciseness i.e., the documents are summarized according to the percentage input by the user. For achieving the above, various clustering techniques are used. Clustering is done at two levels, one at single document level and then at multi-document level. The clustered sentences are scored based on five different methods and lexically linked to produce the final summary in a text document. |
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| ISSN: | 0976-6561 2229-6956 |