A research tool for comparing PPMI and H-PCA embedding models derived from Twitter co-occurrence data. It provides implementations for multiple distance metrics to evaluate word similarity performance.
Tech Stack
Jupyter NotebookAI, ML & Data
Why Evaluating-w-Embeddings?
• Specific to Twitter data structures
• Multiple distance metric support
• Mathematical transparency
Limitations
• Academic/Research focus
• Not a production-ready API
• Limited to specific embedding types
9/15/2025
Last Update
1
Forks
0
Issues
Unknown
License
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