NLTK is widely considered the best Python library for NLP. It is an essential library that supports tasks like classification, tagging, stemming, parsing, and semantic reasoning.

CoreNLP also supports the use of NLTK, a major Python NLP library discussed below. As of version 3.2.3, NLTK includes interfaces to CoreNLP in its parser. Just be sure to use the correct API.

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Learning how to use NLP in SEO through Python is no longer reserved for data scientists. With accessible libraries and public models, developers and SEO teams can now apply semantic analysis ...

SpaCy is a fast and efficient NLP library for Python. It is designed to be easy to use and provides tools for entity recognition, part-of-speech tagging, dependency parsing and more.

Developed by Meta, PyTorch is a popular machine learning library that helps develop and train neural networks.

AI software makers Explosion announced version 3.0 of spaCy, their open-source natural-language processing (NLP) library. The new release includes state-of-the-art Transformer-based pipelines and pre- ...

“spaCy is a free, open-source Python library providing advanced capabilities to conduct natural language processing on large volumes of text at high speed,” says Nikolay Manchev, head of data ...

LEWES, Del., April 6, 2023 — John Snow Labs, the healthcare AI and NLP company and developer of the Spark NLP library, has announced the release of NLP Test, an open-source Python software library ...