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http://tainguyenso.dut.udn.vn/handle/DUT/3483Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Nguyễn, Văn Nguyên, ThS | - |
| dc.contributor.author | Nguyễn, Nhật Tùng | - |
| dc.date.accessioned | 2023-11-15T03:38:23Z | - |
| dc.date.available | 2023-11-15T03:38:23Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.uri | http://tainguyenso.dut.udn.vn/handle/DUT/3483 | - |
| dc.description | DA.TI.22.439; 59 tr | vi |
| dc.description.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 | vi |
| dc.language.iso | en | vi |
| dc.publisher | Trường Đại học Bách Khoa-Đại học Đà Nẵng | vi |
| dc.subject | Công nghệ phần mềm | vi |
| dc.subject | Text classification | vi |
| dc.subject | NLP techniques | vi |
| dc.title | Vietnamese text classification using NLP techniques | vi |
| dc.type | Other | vi |
| Appears in Collections: | DA.Công nghệ Phần mềm | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 4.DA.TI.22.439.NGUYENNHATTUNG.pdf | Thuyết minh | 4.4 MB | Adobe PDF |  Sign in to read |
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