Latent Dirichlet Allocation (LDA) is a "generative probabilistic model" (Natural language processing technique).
- Latent Dirichlet Allocation (LDA) is used in this project to identify abstract topics/treading news from the tweets of the News channel twitter account.
- Data is extracted from the Galway Bay FM twitter account.
- These identified topics are visualised using pyLDAvis.
To know the implementaion details, please refer Topic_modelling_LDA_description.pdf