How to perform Entity NLP SEO using Python and SpaCy?

Описание: Discover how to use Python and the spaCy library to perform Named Entity Recognition (NER) and Entity Extraction. Get the free python script linked below or check out the blog post that shares three covers how you can use three other powerful Python APIs and libraries for entity analysis.

Link to Python script: https://colab.research.google.com/dri...

Link to blog:

spaCy is an open-source Python library built for NLP. It is a commonly used library in the digital marketing and SEO community and has been one of the most popular libraries for NLP analysis. spaCy supports training for more than 70 languages and can perform POS tagging, named entity recognition, similarity analysis, text classification, entity linking, and more.

The Python script will share how to analyze a URL using spaCy via the following steps:

1. Install spaCy library
2. Import spaCy and other Python libraries
3. Run entity_analyzer function
4. Add URL and call entity_analyzer function

Webfor's Partner and Marketing Manager Michael Cortez walks us through how to use Python and spaCy to analyze entities.
https://webfor.com/
https://webfor.com/blog/author/michae...
https://webfor.com/team/michael-cortez/
  / michaelcortez87  
  / mpcthemarketer  
https://www.sempdx.org/about/board-me...

Get a hold of me on socials or at Webfor with any questions about the script.