The Content Summarization system
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 2
Abstract
The documents that are published in the internet are represented in the chronological sequence. Any interesting part of this document is called as topic. Topic is the sentence which captures the attention of the readers, and the core parts of the topic will be associated temporarily so that they would help the internet news readers to grasp its content easily. The content summarization model makes use of Eigen vectors and temporal block association matrix to generate themes of the topic. Further based on the construction of Eigen vectors, significant actions and summaries are generated from the themes. Finally Graph building is done based on the temporal closeness and contextual similarities between the actions. This would finally result in summarized content to the internet news readers. The summaries generated through our system proved to be superior in terms of information coverage and consistency when compared with other traditional methods.
Authors and Affiliations
A. Pearline Divya , S. Leela
Keywords
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