GitHub - springlaughing/Topic-modelling-with-LDA-on-Russian-Texts: Let's find out 25 most common topics (their keywords) from 20000 texts using LDA topic modelling. We will test whether filtering of the corpus by tf-idf will improve accuracy of topic estimation. For more details please refer to the ipython notebook.

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Let's find out 25 most common topics (their keywords) from 20000 texts using LDA topic modelling. We will test whether filtering of the corpus by tf-idf will improve accuracy of topic estimation. For more details please refer to the ipython notebook.