yuanbit/FinBERT-QA-notebooks
Notebooks for fine-tuning a BERT model and training a LSTM model for financial QA
This project helps financial analysts and researchers build specialized question-answering systems. You provide a dataset of financial questions and answers, and it trains models that can then take new financial questions and return relevant answers or snippets from text. It's designed for data scientists or quantitative researchers working with financial texts.
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Use this if you need to create a custom AI model that understands and answers specific questions about financial documents or data.
Not ideal if you're looking for a ready-to-use financial QA system or don't have experience with machine learning model training.
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Jupyter Notebook
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Last pushed
Apr 13, 2020
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