python3
tensorflow >= 1.13

Given a sentence, assign a label according to its' content.

i liked the Da Vinci Code a lot. --- 1

The data provided in the data/ directory is a csv file

In data_util.py I provide some funtions to process the csv file.

This contains several steps:

1. Before you can get started on training the model, you mast run

python data_util.py

2. After the dirty preprpcessing jobs, you can try running an training experiment with some configurations by:

python main.py

3. You can also run an evaluation by:

python server.py 

Then follow the instruction. Hope you enjoy it.

A Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification.

Bag of Tricks for Efficient Text Classification.

Recurrent Convolutional Neural Networks for Text Classification.

Hierarchical Attention Networks for Document Classification.

├── data            - this fold contains all the data
│   ├── train
├── model           - this fold contains the pkl file to restore
├── main.py         - main structure of the project
├── methods.py      - all methods we use 
├── data_util.py    - preprocess the data
├── load_data.py    - data generator
├── server.py       - server

1. Still need parameters searching.
2. Need structure changing to satisfy parameters chosing.
3. Make codes nicer.