Leonard Püttmann
Leonard Püttmann
Would love this, too!
``` fuzzywuzzy==0.18.0 langdetect==1.0.9 nltk==3.7 phonenumbers==8.13.0 python-levenshtein==0.20.8 textblob==0.17.1 textstat==0.7.3 translate==3.6.1 spacy==3.4.2 quantulum3==0.7.11 LeXmo==0.1.4 ```
`stemming==1.0.1`
`openai==0.25.0`
``` bayesian-optimization==1.4.2 google-search-results==2.4.1 vaderSentiment==3.3.2 ```
Hello Bartolomeu, thank you for choosing to use refinery! We already offer a hosted version as part of our managed cloud service. If you'd like, we can provide you with...
@jhoetter THAT IS SO COOL, how did you find this?
On the live version, this module endpoint is not working. To be usable in a production environment we also need to think about ways to make this module a bit...
I have rewritten the module to use the TextBlob library, which implements the proposed method by Peter Norvig. The approach is not perfect, but I think it's alright for fast...
Would be possible to use NTLK for this. ```python import nltk text = "..." sent_detector = nltk.data.load('tokenizers/punkt/english.pickle') sentences = ' '.join(sent_detector.tokenize(text.strip())) ```