Applying Data Science to the Supreme Court: Topic Modeling Over Time with #NMF (and a #D3.js bonus) — Emily Barry
▻http://www.emilyinamillion.me/blog/2016/7/13/visualizing-supreme-court-topics-over-time
LDA was the obvious choice to do first, as is evident when you google “#topic_modeling algorithm.” (...)
Then I read about Non-negative Matrix Factorization (NMF) and found that in uses similar to mine, its robustness far surpassed LDA. NMF extracts latent features via matrix decomposition, and you can use TFIDF which is a huge plus.
#text-mining #gensim ping @lewer