I create this repo for practice a little bit about how to use LSTM for some specific task (i.e Text Analysis).
While coding I have learnt many new things (like how LSTM work, what is Bidirectional LSTM, what is output of LSTM, etc).

• I could understand clearly how LSTM work, how it could perform such a task like Text analysis.
  
• Get to know how to use framework like torchtext for perform task that related to NLP field.
• Hand on the text preprocessing progress, that make me have a better view about how all task in NLP could be done.

• code.ipynb: this notebook file includes all draft code that I writes for getting my hand dirty with LSTM model.
• news.csv: this .csv file is the raw dataset.
• folder data: this folder will include train, test, valid set that have been preprocessed and splitted from our raw dataset.
• folder models: folder for saving checkpoints and metrics from our training process.

You could run from notebook file:

code.ipynb

Or you could run using command line:

$ python main.py

• TEXT CLASSIFICATION WITH THE TORCHTEXT LIBRARY
• Long Short-Term Memory: From Zero to Hero with PyTorch