Discover how to use Python and the Dandelion 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...

Dandelion.eu is a brand new semantic text analysis API with capabilities that include entity extraction, semantic similarity, concept extraction, and entity sentiment analysis. This library is similar to TextRazor API; it provides free access for a specific number of queries each day. The free tier offers up to 1,000 units per day or up to 30,000 units monthly. Dandelion.eu offers paid tiers if you need more than 1,000 daily units.

API response is fairly similar to TextRazor. By slightly modifying the code, you can grab wikipedia ID, description, and much more. These knowledge bases can be helpful for SEOs when analyzing or optimizing websites. Semantic APIs can be helpful for digital marketers. Some uses cases include competitor analysis, SERP ranking analysis, topical authority, and much more.

Here are the steps our script will cover:

1. Install and import Dandelion.eu API and other python libraries
2. Add Dandelion.eu token to dataTXT API
3. Create Pandas Dataframe and Extract Entities
4. Call entity_analyzer function
5. Display first 5 results of dataframe
6. Group by entity name and count mentions

Link to blog:

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.