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Tools

spaCy

ASSESS?

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.

History for spaCy

Nov 2017
Assess?

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.

Mar 2017
Assess?

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.