Home

Awesome

Multilingual Gaussian Latent Dirichlet Allocation MGLDA

In the field of:

1. Natural language processing (Text clustering and Topic modeling)

2. Bayasian statistics (mathematic science) and Machine learning (unsupervised learning)

Master thesis, Chalmers universlity of technology, University of Gothenburg

Author: Elias Kamyab, M.S. in Mathematical statisitcs, M.S. in Applied data science https://www.linkedin.com/in/elias-kamyab-71669014b/

Company: The thesis has been done by collaboration with Swedish Audio book company: Storytel, located in Stockholm, https://www.storytel.com/se/sv/

supervisor: Johan Jonasson, professor in Mathematical Sciences, Chalmers university of technology, Gothenburg

Copyright
The online availability of the document implies permanent permission for anyone to read, to download, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose.
According to intellectual property law the author has the right to be mentioned when his/h

er work is accessed as described above and to be protected against infringement.

For original paper about Gaussian Latent Dirichlet allocation https://github.com/rajarshd/Gaussian_LDA