bigdata-ustc/EduNLP
A library for advanced Natural Language Processing towards multi-modal educational items.
This tool helps educational content creators and researchers analyze the text of learning materials. It takes raw educational content, like test questions or lesson descriptions, and processes it to identify key concepts and structures. The output is a structured representation of the content, which can be used to understand its meaning or compare it with other materials. This is for anyone involved in developing, evaluating, or researching educational items.
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Use this if you need to extract and understand the meaning from educational texts, including specialized content like mathematical formulas or multi-modal information.
Not ideal if your primary need is general-purpose text analysis outside of an educational context.
Stars
62
Forks
20
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 20, 2024
Commits (30d)
0
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