byukan/Chatbots-NLP
Chatbots and other NLP applications: Topic Modeling on text from Codechef and OkCupid
This project offers tools to help educators and competitive programming platform administrators analyze problem statements and user submissions. It takes in text from competitive programming questions and user-submitted code snippets to predict question difficulty, classify code languages, and identify common topics. It helps those managing educational content or coding platforms understand problem characteristics and user engagement better.
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Use this if you manage a competitive programming platform and want to automatically categorize questions, predict difficulty, or understand the underlying themes in problem statements and user profiles.
Not ideal if you need a highly accurate predictive model for question difficulty or code snippet sentiment analysis, as these aspects showed limited correlation in experiments.
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Jupyter Notebook
License
GPL-3.0
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Last pushed
May 01, 2023
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