References
[1] Latent Semantic Analysis: https://en.wikipedia.org/wiki/Latent_semantic_analysis#Latent_semantic_indexing
[2] Gensim: https://radimrehurek.com/gensim/
[3] Latent Dirichlet Allocation: http://www.jmlr.org/papers/volume3/blei03a/blei03a.pdf
[4] Introduction to LDA: http://blog.echen.me/2011/08/22/introduction-to-latent-dirichlet-allocation/
[5] Explanation of LDA: https://www.quora.com/What-is-a-good-explanation-of-Latent-Dirichlet-Allocation
[6] Probabilistic Topic Models: http://www.cs.columbia.edu/~blei/papers/Blei2012.pdf
[7] Jupyter Notebook: https://github.com/bhargavvader/personal/blob/master/notebooks/text_analysis_tutorial/topic_modelling.ipynb
[8] An Empirical Evaluation of Models of Text Document Similarity: http://www.socsci.uci.edu/~mdlee/lee_pincombe_welsh_document.PDF
[9] Singular-Value Decomposition: https://en.wikipedia.org/wiki/Singular-value_decomposition
[10] Indexing by Latent Semantic Analysis: https://search.proquest.com/openview/a1907164bd88dfc38a4875b73a3f7b3d...