Dear spaCy users,
Now that spaCy v2.0 has been out for a few months, we're eager to find out more about how you're using the library and how it can improve. The previous two surveys were a huge help in making spaCy better, so we hope you'll take a few minutes to answer a few questions.

Thanks for your support!
Matt and Ines
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Which of spaCy's capabilities are most important to you?

Which of these new spaCy features introduced since v2.0 are you most excited about?

If you had to pick only one, which of these potential future capabilities of spaCy would you be most excited about?

What would you like instead?

How important would {{answer_LyiSINUkroax}} be to you?

Which of these additional resources and services would you be interested in, if they were available?

How would you rate spaCy in terms of accuracy?

Which annotations are most problematic to you?

How would you rate spaCy in terms of speed?

Which components are particularly slow for you?

How would you rate spaCy in terms of documentation?

What's the biggest problem with the documentation?

How would you rate spaCy in terms of reliability and stability?

What could be improved about spaCy's reliability or stability?

How would you rate spaCy in terms of usability and API?

What could improved about spaCy's usability or API?

Have you trained your own models for spaCy?

What were the main problems you came across when training your own models?

How long have you been using spaCy?

Have you contributed to the spaCy open-source project?

Which of these channels do you use to keep up to date with spaCy?

Which other tools and libraries do you use for NLP?

Do you use any SaaS offerings for NLP?

How do you keep up to date with NLP?

Which of these describes you best?

What do you study?

What is your research about?

What does your company do?

Which industry is your company in?

Do you use spaCy at work?

What company do you work for?

Do you have any other comments, suggestions or feedback about spaCy?

Thanks for your help!