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Automatic text summarization in digi...

Mlynarski, Angela.

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Automatic text summarization in digital libraries.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Automatic text summarization in digital libraries./
作者:	Mlynarski, Angela.
面頁冊數:	142 p.
附註:	Source: Masters Abstracts International, Volume: 45-01, page: 0361.
Contained By:	Masters Abstracts International45-01.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MR17413
ISBN:	9780494174135

Automatic text summarization in digital libraries.
Mlynarski, Angela.

Automatic text summarization in digital libraries. - 142 p.

Source: Masters Abstracts International, Volume: 45-01, page: 0361.

Thesis (M.Sc.)--University of Lethbridge (Canada), 2006.

A digital library is a collection of services and information objects for storing, accessing, and retrieving digital objects. Automatic text summarization presents salient information in a condensed form suitable for user needs. This thesis amalgamates digital libraries and automatic text summarization by extending the Greenstone Digital Library software suite to include the University of Lethbridge Summarizer. The tool generates summaries, nouns, and noun phrases for use as metadata for searching and browsing digital collections.

ISBN: 9780494174135Subjects--Topical Terms:

626642
Computer Science.

Automatic text summarization in digital libraries.
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520 $a A digital library is a collection of services and information objects for storing, accessing, and retrieving digital objects. Automatic text summarization presents salient information in a condensed form suitable for user needs. This thesis amalgamates digital libraries and automatic text summarization by extending the Greenstone Digital Library software suite to include the University of Lethbridge Summarizer. The tool generates summaries, nouns, and noun phrases for use as metadata for searching and browsing digital collections.
520 $a Digital collections of newspapers, PDFs, and eBooks were created with summary metadata. PDF documents were processed the fastest at 1.8 MB/hr, followed by the newspapers at 1.3 MB/hr, with eBooks being the slowest at 0.9 MB/hr. Qualitative analysis on four genres: newspaper, M.Sc. thesis, novel, and poetry, revealed narrative newspapers were most suitable for automatically generated summarization. The other genres suffered from incoherence and information loss. Overall, summaries for digital collections are suitable when used with newspaper documents and unsuitable for other genres.
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