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Extractive Text Summarization


Author : Namita Mittal, Basant Agarwal, Himanshu Mantri, Rahul Kumar Goyal and Manoj Kumar Jain

Pages : 870-872
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Abstract

Text summarization helps in reducing the size of a text while preserving its information content. In this paper, a text summarization approach is proposed based on removal of redundant sentences. Initially, each sentence from original text (input) is scored based on how much redundant the sentence is and at what extent that sentence is able to cover other sentences by itself. This approach is best effective on the documents which are highly redundant and contain repetitive opinions about a topic. The summarization takes places in two stages wherein the input of a stage is the output of previous stage and after each stage the output summary is less redundant than the previous one.

Keywords: Text summarization, redundancy removal, Extractive summary.

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.2 (April- 2014)

 

 

 

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