/Capstone-Project-Unsupervised-ML-Topic-Modelling

The project explores a dataset of 2225 BBC News Articles and identifies the major themes and topics present in them. Topic Modeling algorithms such as Latent DIrichlet Allocation and Latent Semantic Analysis have been implemented. Effetiveness of the method of vectorization has also been explored

Primary LanguageJupyter Notebook

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