Extracting Summary from Documents using K-mean Clustering Algorithm

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Provided by: International Journal of Computer Science and Network Security
Topic: Data Management
Format: PDF
Extracting summary from the documents is a difficult task for human beings. Therefore to generate summary automatically has to facilitate several challenges; as the system automates it can only extract the required information from the original document. This reduces the work to compress the original document and extract only essential information with one of the text mining technique known as \"Diversity\". This diversity helps to find the multiple means in the document. Document sentence use one of scoring technique MMR (Maximum Marginal Relevance) to get the quality text summary.
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