Natural Language Processing Best Practices and Examples
1–7 of 7 posts
Re: Natural Language Processing Best Practices and Examples
#2A more descriptive title would be "How to do NLP using the Microsoft Azure platform".
Re: Natural Language Processing Best Practices and Examples
#3It seems spaCy is missing as a valid tool in this list. It's one of the best!
Re: Natural Language Processing Best Practices and Examples
#4Pre-trained transformer models are awesome... unless latency is in any way important. I worked for an NLP consultancy and that probably applies to like half of the use cases I worked on - anything that has to be close to real time, anything that has to process a lot of documents, and doesn't have access to 8 GPUs. At that point this guide becomes pretty obsolete.
Re: Natural Language Processing Best Practices and Examples
#5A more descriptive title would be "How to do NLP using the Microsoft Azure platform".
[deleted]
Re: Natural Language Processing Best Practices and Examples
#6It seems spaCy is missing as a valid tool in this list. It's one of the best!
spaCy's baked-in Pattern Matcher is a delight to work with once a document is tokenized.
Re: Natural Language Processing Best Practices and Examples
#7It seems spaCy is missing as a valid tool in this list. It's one of the best!
Yes! Used spaCy for a hackathon and it was a delight to work with.