Multi-Document Summarization

Name: Multi-Document Summarization
Brand: LAP Lambert Academic Publishing
SKU: 9783659453229
Price: 1082 CZK
Availability: InStock

Query-based Summarization

Autor: Rohit Pachlor

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP Lambert Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 082 Kč

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

Informace o knize

Autor

Rohit Pachlor

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2013

Stránek

100

EAN

9783659453229

Enbook ID

02201611

Vydavatel

LAP Lambert Academic Publishing

Hmotnost

167

Rozměry

150 x 220 x 6

Kompletní popis

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

Informace o knize

Kompletní popis

Mohlo by vás zajímat

Zákaznicí kteří koupili tuto knihu koupili také