Python machine learning | Topic Modeling using Latent Dirichlet Allocation with Python
Topic modeling is a clustering task, and a subcategory of unsupervised learning techniques. It assigs topics to unlabeled text documents, with topics such as sports, finance, world news, politics, and local news to movie review data.
Topic model uses Latent Dirichlet Allocation , which is model that creating topics to maximize the probabilities of reproducing the bag-of-words matrix, the input of the topic model.
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