Issue when using n_gram_range other than (1,1)

[ColinFerguson]

Hi, really nice work with this package, it's very useful.

Model initiation takes the arguement n_gram_range, but I think that it doesn't get used. Should line 241 referenced here be
count = CountVectorizer(ngram_range=n_gram_range, stop_words="english").fit(documents)?

BERTopic/bertopic/model.py

Line 241 in 9f7dca1

count = CountVectorizer(stop_words="english").fit(documents)

It might be nice to have the stop_words argument be configurable at initiation as well, so that the user could pass a corpus-specific set of stop words.

[MaartenGr]

You are correct! Stupid overview on my part not actually using the n_gram_range. Same with stopwords.

[MaartenGr]

Master has the most up-to-date version. Pypi was updated to 0.2.3 to include the changes you proposed. Let me know if you find any other issues!

[ColinFerguson]

Great thank you so much @MaartenGr