Use the Latent Dirichlet Allocation (LDA) topic model to analyze text data.
Create a function which cleans and preprocesses text data for analysis.
Train a simple text classifier on word frequency counts using a bag-of-words model.
Classify text descriptions of weather reports using a deep learning long short-term memory (LSTM) network.
Decide on a suitable number of topics for a latent Dirichlet allocation (LDA) model.