Multi-Document Summarization

Name: Multi-Document Summarization
Brand: LAP Lambert Academic Publishing
SKU: 9783659453229
Price: 50.28 EUR
Availability: InStock

Query-based Summarization

Автор: Rohit Pachlor

Език:

Корици: С меки корици

Издател: LAP Lambert Academic Publishing

Наличност: Външен склад

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

Информация за книгата

Автор

Rohit Pachlor

Език

Английски език

Корици

Книга - С меки корици

Издадена

2013

страници

100

EAN

9783659453229

Enbook ID

02201611

Издател

LAP Lambert Academic Publishing

Теглоt

167

Размери

150 x 220 x 6

Пълно описание

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.

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Multi-Document Summarization

Query-based Summarization

Информация за книгата

Пълно описание

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Клиенти, които купиха тази книга, купиха също