keras_text_classification

implement some fancy text classification models by using keras

Three Dataset:

1. Game Title with 10 categories
2. Twitter Sentiment Analysis
3. JD.com product reviews with 3 categories

Model Implementation:

1. NB with TF-IDF
2. SVM with TF-IDF
3. MLP with OneHot
4. CNN(LeNet-5)
5. TextCNN
6. LSTM
7. Bi-GRU
8. RCNN
9. CLSTM
10. CNN and GRU
11. HAN
12. FastText
13. Inception and TextCNNBN: idea from here

To-Do List:

1. DCNN
2. Aspect Level Sentiment

Pre-trained word embedding set download link: Glove

[PS] You can not just run the code in game review part. You need to run the code step by step yourself. And you also need to change some file path when you run the code.