spacy

spaCy is a powerful, open-source library designed for advanced natural language processing (NLP) in Python and Cython. It is tailored for production use, offering fast and accurate tools for tasks such as tokenization, part-of-speech tagging, named entity recognition, and dependency parsing. Unlike other libraries, spaCy emphasizes efficiency and ease of integration with deep learning frameworks like TensorFlow and PyTorch. With pre-trained models available in multiple languages, spaCy enables developers to build sophisticated NLP applications quickly and effectively, making it a popular choice among data scientists and software engineers alike.

Text summarization using spaCy

Analytics Vidhya

spaCy is a free, open-source advanced natural language processing library, written in the programming languages Python and Cython. spaCy mainly used in the development of production software and also…...

So… What’s spaCy?

Towards Data Science

If a normal data analysis tool in Python for tabular and structured data has Pandas, then the data analysis tool in Natural Language Processing (NLP) for text and unstructured data has spaCy. When…

Train NER with Custom training data using spaCy.

Towards Data Science

SpaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. The library is published under the MIT license and its main…

Python’s spacy library

Python in Plain English

Alright, fasten your seatbelts because we’re about to zoom into the world of spaCy, a powerful Python library that’s like a Swiss Army knife for text processing! 😄✨ Imagine you’re a detective 🕵️‍♂️,...

Practical Python: spaCy for NLP

Towards Data Science

spaCy is a powerful open-source library for natural language processing in Python. It includes advanced features for tokenization, named entity recognition, and part-of-speech tagging and is capable o...

Natural Language Processing with spaCy— Steps and Examples

Towards AI

spaCy is an open-source, advanced Natural Language Processing (NLP) library in Python. The library was developed by Matthew Honnibal and Ines Montani, the founders of the company Explosion.ai. In my…

Python Spacy : Knowing These Secrets Make U Utilize Library At Ease

Analytics Vidhya

SPACY is one of the open source library available in python which guarantees solution to NLP (Natural Language Processing) problem statement. It has three different language corpus available …

spaCy Basics

Towards Data Science

Learn to use the spaCy framework for NLP tasks including tokenization, part-of-speech tagging, lemmatization, and named entity recognition.

Machine Learning for Text Classification Using SpaCy in Python

Towards Data Science

spaCy is a popular and easy-to-use natural language processing library in Python. It provides current state-of-the-art accuracy and speed levels, and has an active open source community. However…

Complete Guideline to Implementation of Basic NLP Techniques with spaCy (Part-4)

Towards Data Science

SpaCy is fastest and efficient natural language processing library for python. It can performs tokenization, lemmatization, stop word removal, etc.

Load a Large spaCy model on AWS Lambda

Towards Data Science

spaCy is a useful tool that allows us to perform many natural language processing tasks. When integrating spaCy into an existing application, it is convenient to provide it as an API using AWS Lambda…...

A Quick Guide to Tokenization, Lemmatization, Stop Words, and Phrase Matching using spaCy | NLP |…

Towards Data Science

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