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When to Use Spacy Python?

James H. Sterling • • 6 min read
When to Use Spacy Python?

spaCy is designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding

natural language understanding
Language processing refers to the way humans use words to communicate ideas and feelings, and how such communications are processed and understood.
› Language_processing_in_the_brain
systems, or to pre-process text for deep learning.

Why do we use spaCy in Python?

spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. ... spaCy is designed specifically for production use and helps you build applications that process and “understand” large volumes of text.

Which is better NLTK or spaCy?

NLTK is a string processing library. ... As spaCy uses the latest and best algorithms, its performance is usually good as compared to NLTK. As we can see below, in word tokenization and POS-tagging spaCy performs better, but in sentence tokenization, NLTK outperforms spaCy.

James H. Sterling
Author

James H. Sterling

James Sterling reports on renewable energy developments, climate policy, ecological conservation, and green tech innovations around the globe.