BullsEyeR: 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.

Getting started

Package details

AuthorKrishna Harsha
MaintainerKrishna Harsha <khkrishnaharsha123@gmail.com>
Package repositoryView on CRAN
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BullsEyeR documentation built on May 1, 2019, 6:36 p.m.