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Title
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Effect of Vietnamese Text Retrieval System based on Topic Modeling
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Author
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Cuong Nguyen Ngoc
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Citation |
Vol. 15 No. 11 pp. 10-14
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Abstract
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Text retrieval is an important field when the data is growing day by day. So the big problem in a text retrieval field is the large of features number. Researchers always find the ways that can reduce features in texts. In this paper, we proposed a Vietnamese text retrieval method based on text classification and topic modeling. The experimental with 220 documents shown that, our method is really effective, higher accuracy and can reduce the complexity of computing and easy to build an application system for Vietnamese text.
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Keywords
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Text retrieval, Vietnamese text, Topic modeling, feature reduction, text classification.
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URL
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http://paper.ijcsns.org/07_book/201511/20151102.pdf
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