Performing topic modeling on Hebrew biblical texts and comparing with topic models of the translated English text.
All current analysis is done on the book of Genesis.
Inlcudes implementation of Latent Dirichlet Allocation (LDA), Hierarchical Dirichlet Process (HDP), and Latent Semantic Analysis (LSA) algorithms. UCI and UMass Coherency metrics are used to evaluate the models.
To run code use python 3.10 and install the required packages with pip install -r requirements.txt.