sid321axn/bank_fin_embedding
This repository consists of customized word embedding focused on banking and finance terms which will be helpful in analyzing and classifying financial sentiments or stock price sentiment analysis.
This project offers pre-trained language understanding specifically for banking and finance. It takes financial text, such as news articles or reports, and transforms it into numerical representations that capture the meaning and relationships between financial terms. This helps financial analysts, traders, and risk managers to better classify financial sentiments or analyze stock price sentiment.
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Use this if you need to analyze large volumes of financial text for sentiment, classification, or to understand how different financial concepts relate to each other.
Not ideal if your text analysis needs are outside of the banking and finance domain, as it's specifically trained on financial language.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 15, 2020
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