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Viac informácií o knihe Multi-Document Summarization

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia knihy

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.

Parametre knihy

• Celý názov: Multi-Document Summarization
• Podnázov: Query-based Summarization
• Autor: Rohit Pachlor
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 100
• EAN: 9783659453229
• ID: 02201611
• Nakladateľ: LAP Lambert Academic Publishing
• Hmotnosť: 167 g
• Rozmery: 220 × 150 × 6 mm
• Dátum vydania: 23. October 2013

Obľúbené z iného súdka

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