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Exploring the Traits of Manual E-Mail Categorization Text Patterns
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2014 (English)In: Advances in Natural Language Processing: Proceedings / [ed] Przepiorkowski, A., Ogrodniczuk, M., Springer, 2014, 337-344 p.Conference paper, Published paper (Refereed)
Abstract [en]

Automated e-mail answering with a standard answer is a text categorization task. Text categorization by matching manual text patterns to messages yields good performance if the text categories are specific. Given that manual text patterns embody informal human perception of important wording in a written inquiry, it is interesting to investigate more formal traits of this important wording, such as the amount of matching text, distance between matching words, n-grams, part-of-speech patterns, and vocabulary in the matching words. Understanding these features may help us better design text-pattern extraction algorithms.

Place, publisher, year, edition, pages
Springer, 2014. 337-344 p.
Series
Lecture Notes in Artificial Intelligence, ISSN 0302-9743 ; 8686
Keyword [en]
Text patterns, part-of-speech patterns, POS patterns
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-108632DOI: 10.1007/978-3-319-10888-9_34ISI: 000348926100034ISBN: 978-3-319-10887-2 (print)ISBN: 978-3-319-10888-9 (print)OAI: oai:DiVA.org:su-108632DiVA: diva2:759825
Conference
9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014
Available from: 2014-10-31 Created: 2014-10-31 Last updated: 2015-03-02Bibliographically approved

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Sneiders, EriksEriksson, GunnarAlfalahi, Alyaa
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CiteExportLink to record
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