AI in WordPress: How Embeddings & Semantic Clustering Can Transform Your Content Strategy
In this video, I dive into the practical implementation of AI in journalism and content management, focusing on Semaphore—a custom WordPress plugin I developed. This plugin computes embeddings for posts, pages, and taxonomy terms, then uses semantic clustering to automatically generate related-content groups and tag suggestions directly within WordPress.
🔹 What You’ll Learn:
- How embeddings and semantic clustering work in WordPress.
- A live demo of Semaphore in action on a WordPress Docker setup with phpMyAdmin.
- Exploring the plugin’s database tables: wp_related_posts_embeddings and wp_tag_families.
- Practical applications for journalism, SEO, and multilingual content.
🔗 Related Blog Post:
This video is based on my blog post: AI-Augmented Journalism: Practical Implementation of Semantic Clustering, Multilingual Transcription, and WordPress Automation
Related Content
More ressources
Tag(s) : Agile, AI, Anaconda, Development, Learning, Learning-by-doing, P.O, Python
Categorie(s) : Agile, Anaconda, Development, Experiences, Python, Training, Tutorials, Videos