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Journal of Automation and Information Sciences

Erscheint 12 Ausgaben pro Jahr

ISSN Druckformat: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

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Automatic Text Documents Summarization through Sentences Clustering

Volumen 40, Ausgabe 9, 2008, pp. 53-63
DOI: 10.1615/JAutomatInfScien.v40.i9.50
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ABSTRAKT

To provide minimum redundancy in summary and maximum possible covering of the document content one has proposed the method of automatic summarization of the text documents based on sentence clustering. Sentence clustering is applied to determining topics and informative sentences. The clustering problem is formulated as a binary quadratic interger programming problem. The number of clusters (topics) is determined by deliberately developed algorithm. The synthesis algorithm of neural net for solving clustering problem has been described.

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