psnonis/FinBERT
BERT for Finance : UC Berkeley MIDS w266 Final Project
This project helps financial analysts and researchers understand the specific meaning and context of language used in financial documents. By analyzing text like SEC filings, it can interpret nuanced financial concepts, identify relationships between terms, and track how the understanding of these concepts changes over time. You provide financial text, and it helps you extract financial insights from it.
204 stars. No commits in the last 6 months.
Use this if you need to perform advanced natural language processing tasks on financial documents, such as sentiment analysis or information extraction from SEC filings or financial news.
Not ideal if your primary need is general-purpose text analysis outside of the financial domain, as it's specifically optimized for financial language.
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204
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64
Language
C++
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Last pushed
May 19, 2020
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