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作者单位:Ksenia Oskina (16)
16. Institute of Applied and Mathematical Linguistics, Moscow State Linguistic University, Moscow, Russia
丛书名:Speech and Computer
ISBN:978-3-319-43958-7
刊物类别:Computer Science
刊物主题:Artificial Intelligence and Robotics Computer Communication Networks Software Engineering Data Encryption Database Management Computation by Abstract Devices Algorithm Analysis and Problem Complexity
出版者:Springer Berlin / Heidelberg
ISSN:1611-3349
卷排序:9811
文摘
This article describes the method of document classification on the basis of a vector space model with regard to the domain of Applied Linguistics for Russian. This method makes it possible to classify input text data in two different categories: applied linguistics texts (AL) and non-applied linguistics texts (nonAL). The proposed method is implemented using the statistical measure of TF-IDF and the evaluation measure of cosine similarity. The study gives promising results and opens up further prospects for the application of this approach to text classification in other languages.