Multi-Document Summarization

Name: Multi-Document Summarization
Brand: LAP Lambert Academic Publishing
SKU: 9783659453229
Price: 264.03 RON
Availability: InStock

Query-based Summarization

Autor: Rohit Pachlor

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Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Rohit Pachlor

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2013

Pagini

100

EAN

9783659453229

Enbook ID

02201611

Editura

LAP Lambert Academic Publishing

Greutate

167

Dimensiuni

150 x 220 x 6

Descriere completă

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

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