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http://tainguyenso.dut.udn.vn/handle/DUT/591| Title: | Vietnamese text classification using NLP techniques | Authors: | Nguyễn, Nhật Tùng | Keywords: | Công nghệ phần mềm;Text classification;NLP techniques | Issue Date: | 2022 | Publisher: | Trường Đại học Bách Khoa-Đại học Đà Nẵng | Abstract: | In this thesis, I have provided a solution for automated text classification of Vietnamese text using NLP techniques using 4 different machine learning models. After experimenting, it is showed that Support Vector Machine and Multilayer Perceptron models perform best and equally well with approximately 94% accuracy. Logistic Regression model performs a little worse with 92% accuracy. Multinomial Naïve Bayes performs worst of 4 models with 87% accuracy |
Description: | DA.TI.22.439; 59 tr |
URI: | http://tainguyenso.dut.udn.vn/handle/DUT/591 |
| Appears in Collections: | DA.Công nghệ phần mềm |
Files in This Item:
| File | Description | Size | Format | Existing users please Login |
|---|---|---|---|---|
| 4.DA.TI.22.439.NGUYENNHATTUNG.pdf | Thuyết minh | 4.4 MB | Adobe PDF | Request a copy |
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