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BullsEyeR (version 0.2.0)

Topic Modelling

Description

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.

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Version

Install

install.packages('BullsEyeR')

Monthly Downloads

11

Version

0.2.0

License

GPL

Maintainer

Krishna Harsha

Last Published

December 21st, 2017

Functions in BullsEyeR (0.2.0)

testdata

Sample text data
BullsEye

Topic Modelling
BullsEyeR

Topic Modelling for Content curation Cognizant CDB-AIM-BAI-Business Analytics
createDTM

Create Document term Matrix
freqAnalysis

Functions Frequency Analysis