Blog Details
Blog Title: | Introducing spaCy | |||||||||||||||||||||||||||||||||||||||||||||||||||
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Blogger: | kajolajab21@gmail.com | |||||||||||||||||||||||||||||||||||||||||||||||||||
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Content: | What is spaCy? spaCy is a free, open-source Natural Language Processing Library (NLP) in Python . Natural Language Processing (NLP) is one of the most interesting sub-fields of data science. For example,Natural language processing is widely used in sentiment analysis. It is specifically intended for use in manufacturing and helps you create apps that process and "understand" large volume of text. spaCy is designed to help you do real work — to build real products, or gather real insights. The library respects your time, and tries to avoid wasting it. It's easy to install, and its API is simple and productive.spaCy is great at performing simple to complex text processing tasks. Hence is a quite fast library. spaCy provides a concise API to access its methods and properties governed by trained machine (and deep) learning models. It is designed particularly for production use, and it can help us to build applications that process massive volumes of text efficiently.
Why use spaCy?
Features of spaCy?
Installation of spaCypipUsing pip, spaCy releases are available as source packages and binary wheels (as of v2.0.13).
We’ll need to install spaCy and its English-language model before proceeding further.After installation you need to download a language model.
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