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Text Mining and Topic Modeling Toolkit

Project description

tmtoolkit is a set of tools for text mining and topic modeling with Python. It contains functions for text preprocessing like lemmatization, stemming or POS tagging especially for English and German texts. Preprocessing is done in parallel by using all available processors on your machine. The topic modeling features include topic model evaluation metrics, allowing to calculate models with different parameters in parallel and comparing them (e.g. in order to find the best number of topics for a given set of documents). Topic models can be generated in parallel for different copora and/or parameter sets using the LDA implementations either from lda, scikit-learn or gensim.

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Files for tmtoolkit, version 0.3.1
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