Can you suggest any unsupervised learning? I want to take a body of text associated with users and come up with keywords/topics with each user. Thanks! :)
Some fairly widely-used techniques include LSI, LDA, and word2vec or doc2vec. There a lot of different techniques out there! I'm one of the creators of Tagger News, and we used LDA with python's Gensim package. Here's a good tutorial: https://radimrehurek.com/gensim/tut2.html
Note that fasttext is the next generation of word2vec/doc2vec, and shares many of the same creators.