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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
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Package details |
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| Author | Krishna Harsha |
| Maintainer | Krishna Harsha <khkrishnaharsha123@gmail.com> |
| License | GPL |
| Version | 0.2.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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