# Software

You can find all my public code at  github.com/akuz
Below are just some things I wanted to highlight

The main code you would probably want to look at is optimised LDA Gibbs sampling in the akuz-nlp library, which includes the following enhancements over the standard implementations:

• Multiprocessor Parallelisation (you can specify thread count)
• Simulated Annealing (for faster Gibbs sampling convergence)
• Topic Keywords (specify high probability words for specific topics)

• akuz-nlp - Natural Language Processing (NLP) library
• akuz-nlp-run-lda - How to run LDA Gibbs sampling
To use this data with algorithms from the NLP library, unpack the archive into a directory on your computer, and then specify that directory in the parameters to the program (see akuz-nlp-run-lda project for an example).