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A topic modeling framework based on word embeddings and neural nets that self finds optimal number of topics. (TreeProfitTM - hierarchical version)

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ProfitTM

A topic modeling framework based on word embeddings and neural nets that self finds optimal number of topics. (TreeProfitTM - hierarchical topic model)

Example of 2 levels hierarchy ("All the news" dataset from Kaggle)

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A topic modeling framework based on word embeddings and neural nets that self finds optimal number of topics. (TreeProfitTM - hierarchical version)

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