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Multi-Document Summarization

Name: Multi-Document Summarization
Brand: LAP Lambert Academic Publishing
SKU: 02201611
Price: 48.67 EUR
Availability: InStock
Author: Rohit Pachlor
ISBN: 9783659453229

Query-based Summarization

Rohit Pachlor

Language

English

Book Paperback

Libristo code: 02201611

Publishers LAP Lambert Academic Publishing, October 2013

The world is overloaded with information due to the internet revolution. This calls for an efficient... Full description

Libristo code: 02201611

118 b

48.67 €

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The world is overloaded with information due to the internet revolution. This calls for an efficient and accurate summarization system to extract relevant information. Text summarization system automatically generates a summary of a given document and helps people to take effective decisions in less time. In this book two methods have been proposed for query-focused multi-document summarization that uses k-mean clustering and term-frequency-inverse-sentence-frequency method for sentence weighting to rank the sentences of the document(s) with respect to a given query. The proposed methods find the proximity of documents and query, and later uses this proximity to rank sentences of each document. A comparative study for proposed methods has been done and experimental results shows that both methods are comparable because of a slight difference in performance. DUC 2007 test dataset and ROUGH-1.5.5 summarization evaluation package is used for evaluation purpose.