1. The experiment based on hier-attention
Raymond ZHAO Wenlong

2. Content In (iCON) Design project Word embedding in 1st step
deep learning like CNN/RNN-LSTM to learn text representations in current step
In 3rd step

3. Text Classification Assign labels to text
represent doc with sparse lexical features like n-gram with linear/kernel model
deep learning like CNN/RNN-LSTM to learn text representations
=> Encoder-Decoder
Attention mechanism tells where exactly/importantly to look when the neural network is trying to predict parts of a sequence
Reference from the “hier-attention” paper

4. Hier-attention network
Attention Model
2016, NACL
source code is on github

5. The paper’s result
Performances on diff datasets

6. The experiment
A bit better in ssize dataset,
not in RAM dataset

7. TODO Data preprocessing Pre-Training: Bert Modul by Google
=> Labels by the experts
Pre-Training: Bert Modul by Google
=> source is in github
transfer user reviews (laptop) as user inputs
=> Text generations ?

8. Thanks
Welcome to join me