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Question Generation for Earning Calls - Data Crushers

Our goal is to develop a modeling framework for the JPMC Investor Relations team to prepare for upcoming earning calls. Given a set of analysts, our framework will output a set of predicted question tags and a set of generated questions for each analyst. The outputted tags originate from an internal tagger, while the generated questions are developed from an existing data-set.

Our Creed: What You Say And How You Say It Matters

Project Members:

  • Yiyan Chen
  • Lu Yin
  • Xiaofan Bai
  • Isaac Haberman

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  • Jupyter Notebook 99.1%
  • Python 0.9%