We describe a Classifier of email queries, which executes text categorization by topic. The specifics of our Classifier is that it allows accurate categorization of short messages containing only a few words. This advantage is achieved by executing morphological and semantic analyses of an incoming text. Specifically, the Classifier provides an efficient information extraction and takes the meaning of words into consideration. By using the hierarchically structured subject domain and classification rules, the Classifier’s engine assigns an email query to the most relevant category or categories.
CITATION STYLE
Zhdanova, A. V., & Shishkin, D. V. (2002). Classification of email queries by topic: Approach based on hierarchically structured subject domain. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2412, pp. 99–104). Springer Verlag. https://doi.org/10.1007/3-540-45675-9_17
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