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New Technology of Library and Information Service  2010, Vol. 26 Issue (12): 34-39    DOI: 10.11925/infotech.1003-3513.2010.12.06
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The Subject Extraction Based on Topic Segmentation and PageRank Algorithm
Duan Xiaoli, Wang Yu
School of Management, Dalian University of Technology, Dalian 116024, China
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Considering the completeness of subject extraction, this paper sorts the sentences with PageRank algorithm based on text theme divisions after reconstructing sentence relation map to every theme package. Then the sentence which has the maximum weight among all the texts is set to be the topics sentence. Experiments show that the topic sentence extraction algorithm has a good coverage of the full text.

Key wordsTopic      sentence      extraction      Subject      segmenting      Sentence      relation      map      PageRank      algorithm     
Received: 10 November 2010      Published: 07 January 2011



Cite this article:

Duan Xiaoli, Wang Yu. The Subject Extraction Based on Topic Segmentation and PageRank Algorithm. New Technology of Library and Information Service, 2010, 26(12): 34-39.

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