BullsEyeR (0.2.0)

0 users

Topic Modelling.

http://cran.r-project.org/web/packages/BullsEyeR

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 1 year ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of BullsEyeR yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for BullsEyeR on google, google scholar, r-help, r-devel.

Visit BullsEyeR on R Graphical Manual.