Abstract
Documents that are widely in use today included many atypical characteristics. In particular, non-standardization appears more frequently in e-mail documents than other documents due to the extensive use of informal expressions such as slang and abbreviation. Automatic document classification may differ significantly according to the characteristics of documents that are subject to classification, as well as classifier’s performance. We suggest a three-step preprocessing algorithm by stages for accurate automatic classification for each e-mail category. This research identifies e-mail document’s characteristics to apply a three-step preprocessing algorithm that can minimize e-mail document’s atypical characteristics.
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Jeong, OR., Cho, DS. (2005). A Three-Step Preprocessing Algorithm for Minimizing E-Mail Document’s Atypical Characteristics. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11540007_68
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DOI: https://doi.org/10.1007/11540007_68
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28331-7
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