The implementation of Vietnamese Text Classification

We aims to build a simple attention based deep neural model to classify the vietnamese texts.

Table of contents

• Requirements
• Dataset
• Training
• Results

Requirements

pip install -r requirements.txt

Dataset

We collected over 400 questions that relates to the university consultancy in Vietnam. After considering the features, we assign them into 3 classes.

Training

Step by step for training, please refer the notebook train_test.ipynb

Results

We achieve the exciting performance that results in 89% accuracy in the validation set.