{"slug": "introducing-the-orthogonal-model-of-emoji", "title": "Introducing the Orthogonal Model of Emoji", "summary": "A developer created a derivative dataset based on the Orthogonal Model of Emotions, replacing ontological cluster labels with 10 emoji. The dataset was validated using Create ML with Transfer Learning over 15 training iterations. The creator plans to upload the dataset and build a Hugging Face model and demo space.", "body_md": "Based on my [Orthogonal Model of Emotions](https://huggingface.co/datasets/databoyface/ome-src-v5.2), I’ve created a derivative dataset that removes one dimension and replaces the ontological cluster labels with 10 emoji. You know, as one does! I then validated the dataset with Create ML using a Transfer Learning sequence and 15 training iterations.\n\nOnce the dataset is uploaded, I’ll create a HF model and space as a demo. Please check out my other work here on HF and let me know what you think! For instance, do you want to create a derivative set with equally weighted categories? What else can you think of to try?\n\nMade in with", "url": "https://wpnews.pro/news/introducing-the-orthogonal-model-of-emoji", "canonical_source": "https://discuss.huggingface.co/t/introducing-the-orthogonal-model-of-emoji/177819#post_1", "published_at": "2026-07-14 16:53:30+00:00", "updated_at": "2026-07-14 17:02:23.483657+00:00", "lang": "en", "topics": ["machine-learning", "artificial-intelligence"], "entities": ["Hugging Face", "Create ML"], "alternates": {"html": "https://wpnews.pro/news/introducing-the-orthogonal-model-of-emoji", "markdown": "https://wpnews.pro/news/introducing-the-orthogonal-model-of-emoji.md", "text": "https://wpnews.pro/news/introducing-the-orthogonal-model-of-emoji.txt", "jsonld": "https://wpnews.pro/news/introducing-the-orthogonal-model-of-emoji.jsonld"}}