BullsEyeR (0.2.0)

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Topic Modelling.


Helps in initial processing like converting text to lower case, removing punctuation, numbers, stop words, stemming, sparsity control and term frequency inverse document frequency processing. Helps in recognizing domain or corpus specific stop words. Makes use of 'ldatunig' output to pick optimal number of topics for topic modelling. Helps in topic modelling the content.

Maintainer: Krishna Harsha
Author(s): Krishna Harsha

License: GPL

Uses: Matrix, NLP, slam, tm, topicmodels

Released about 2 years ago.

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