Using the Essence of Texts to Improve Document Classification

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This article discusses using the essence of texts to improve document classification.

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8 p.

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Mihalcea, Rada, 1974- & Hassan, Samer September 2005.

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This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 162 times , with 7 in the last month . More information about this paper can be viewed below.

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UNT College of Engineering

The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

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Description

This article discusses using the essence of texts to improve document classification.

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8 p.

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Abstract: This paper explores the possible benefits of the interaction between automatic extractive summarization and text classification. Through experiments performed on standard test collections, we show that techniques for extractive summarization can be effectively combined with classification methods, resulting in improved performance in a text categorization task. Moreover, comparative results suggest that the synergy between text summarization and text classification can be regarded as a new application-oriented evaluation testbed for automatic summarization.

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  • Conference on Recent Advances in Natural Language Processing (RANLP), 2005, Borovetz, Bulgaria

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  • September 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 1:36 p.m.

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Mihalcea, Rada, 1974- & Hassan, Samer. Using the Essence of Texts to Improve Document Classification, paper, September 2005; (digital.library.unt.edu/ark:/67531/metadc30978/: accessed December 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.