word2vec vs LDA topic modeling?

[juliasilge]

Thank you so much for your excellent work on this package! 🙌

I have some questions about the way the w results are presented/documented. The function documentation uses some language about word2vec, but in the functions that create these results, only functions from text2vec for topic modeling are called, not any vector embedding functions.

The text2vec package has functions for LDA topic modeling and also for word embeddings, specifically an implementation of GloVe. If I am understanding correctly, it looks like only the first are used in this package, but the language describing the results refers to the second.

What are your thoughts on this? Do you think the language and naming should be updated?

[juliasilge]

cc @EmilHvitfeldt because this will impact textrecipes