dpasse/pbp
Named Entity and Relation Extraction models for NFL play-by-play snippets
This project helps sports analysts and fantasy football enthusiasts automatically extract key information from NFL play-by-play data. It takes raw NFL game logs and play-by-play text, identifies specific entities like player names, teams, and game actions, and outputs structured data showing relationships between them. This is ideal for anyone wanting to programmatically analyze football game events.
No commits in the last 6 months.
Use this if you need to automatically identify and categorize specific elements and their connections within NFL play-by-play text for detailed analysis or dataset creation.
Not ideal if you are looking for pre-built analytics reports or a simple GUI for data exploration, as this project focuses on the underlying data extraction and model building.
Stars
7
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 10, 2023
Commits (30d)
0
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