15 Things You Should Know About Spacy

Natural Language Processing to Go

Alexander Hendorf

Natural Language Processing Python 3

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spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python.
It was specifically designed for production use and it's a great tool to build applications that process text and help to “understand” large corpuses.

A robust understanding of Python inner mechanisms is very useful for getting your head around what Space can do for you, what is fast or time consuming. Ans who do you store Space models anyway and what are they. Plugins? - sure!

In this talk I'll present 15 things you should know about Spacy for the better and worse.

Type: Talk (30 mins); Python level: Beginner; Domain level: Beginner

Alexander Hendorf

Königsweg GmbH

Alexander' professional career was always about digitalization: starting from vinyl records in the nineties to advanced data analytics nowadays. He's a Python Software Foundation fellow, emeritus EuroPython organiser, program chair of PyConDE & PyData Berlin and the scientific Python conference EuroSciPy. He’s one of the 25 mongoDB masters and a regular contributor to the tech community. As regular speaker at international conferences in he love to talk about, discuss and train tech.
Being a partner at Königsweg - a boutique Data Science and AI consultancy based in Mannheim, Germany - he's advising and training industry clients in AI, data science, data literacy and big data matters.