SpaCy is an open-source software library for natural language processing (NLP). It was developed by Explosion AI, a startup founded by Matt Honnibal and Ines Montani in 2015. SpaCy is written in the programming language Python and is published under the MIT license. It is designed to help developers and data scientists create production-ready software with robust capabilities for their language understanding applications.
SpaCy is widely used for tasks such as sentence boundary detection, part-of-speech tagging, syntactic parsing, named entity recognition, entity linking, sentiment analysis, text classification, and more. The library is known for its concise and intuitive API, which makes it easy for developers to quickly get up and running with NLP software.
In addition to its core features, spaCy also offers optimized machine learning models for a wide range of languages. These models are trained on real-world text and involve state-of-the-art algorithms such as deep neural networks and convolutional neural networks. These models help improve spaCy’s performance in recognizing and analyzing text.
SpaCy has become popular for its wide range of features, ease of use, and high performance. It has been used for many different tasks, such as information extraction, question answering, summarization, and text generation. SpaCy is also highly scalable, meaning it can handle large volumes of text and data with ease.