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gensim is the python library for topic modelling. multi-dimensional vector representation of words or sentences which preserves semantic meaning is computed through word2vec and doc2vec models.

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Document Categorization Problem

Research has led me to look at standard libraries like NLTK, scikit-learn and gensim. But I'm struggling to identify what would be the best methodology for categorizing newly received documents. …
tadamhicks's user avatar