This is the workshop materials for NLP Python Programming. We will build a very simple NLP model with a simple Text data. It will predict what sentiment (positive and negative) Text data represents. It will walk though
- Import Text data
- Tokenization: Convert Text to numeric vectors
- Embedding
- Build RNN (LSTM) model
- Train RNN model with Tokenized Text data
- Predict Text
It will require below packages
- numpy 1.20.1
- keras 2.6.0
- gensim 4.1.2
- tensorflow 2.6.0