A SUITABLE MODEL FOR CLASSIFYING VIETNAMESE DOCUMENTS
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Text Classification; Tokenization; Conditonal Random Fields - CRFs.Abstract
In this paper, we proposed a text classifying model for Vietnamese document. Our model is a combination of two separated components: A tokenization algorithm based on Conditional Random Fields (CRFs)[1] and StarSpace[2] – a general text classification model. Experiments results indicate that our model performed well on classifying task (with accuracy above 90% on the testing dataset).
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Published
10-04-2020
How to Cite
Hùng. “A SUITABLE MODEL FOR CLASSIFYING VIETNAMESE DOCUMENTS”. Journal of Military Science and Technology, no. 66, Apr. 2020, pp. 238-42, https://online.jmst.info/index.php/jmst/article/view/243.
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