explore different text models #14
Description
this notebook has some examples of how to apply different word (or document) embedding models to text data
some examples to potentially explore:
- LDA fit to the full set of movie scripts vs. wikipedia
- NMF fit to the full set of movie scripts vs. wikipedia
- Universal Sentence Encoder
- word2vec