NLP Entity SEO: How to Use Python and TextRazor API for Entity Analysis
Discover how to use Python and the TextRazor API to perform Named Entity Recognition (NER) and Entity Extraction. Get the free Python script linked below or check out the blog post that 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...
TextRazor is a powerful API for entity extraction, disambiguation, classification, and more. In version one of the TextRazor script, we will simply crawl a single URL and extract and analyze the entities using TextRazor. We will then visualize the most frequently mentioned entities using Matplotlib. This version of the TextRazor script can be helpful for examining a single URL or comparing multiple URLs. This can provide insight into gaps in topics, entity salience misalignment, and more.
Here are the steps to run the first script:
1. Navigate to textrazor.com
2. Set up your account and get your free API key
3. Install TextRazor and other Python libraries and import
4. Insert TextRazor API key
5. Create TextRazor Class using textrazor.TextRazor
6. Set up dataframes and loop through entities
7. Dispay the first 25 rows of dataframe
8. Plot out entities using Matplotlib
Link to blog:
Webfor's Partner and Marketing Manager Michael Cortez walks us through how to use Python and TextRazor to analyze entities.
https://webfor.com/
https://webfor.com/blog/author/michae...
https://webfor.com/team/michael-cortez/
/ michaelco. .
/ mpcthemarketer
https://www.sempdx.org/about/board-me...
Get a hold of me on socials or at Webfor with any questions about the script.