KevinKuo41/Sentiment_Analysis_On_Financial_News_Headlines_With_BERT_And_FinBERT
Sentiment Analysis On Financial News Headlines With BERT & FinBERT
This project helps financial professionals quickly understand the emotional tone of news. You input financial news headlines, and it outputs a classification indicating whether the sentiment is positive, negative, or neutral. This is useful for financial analysts, traders, and investors who need to gauge market reactions to news.
No commits in the last 6 months.
Use this if you need to automate the process of sifting through numerous financial news headlines to understand market sentiment.
Not ideal if you require sentiment analysis on long-form financial reports or non-financial text, as it's specifically tuned for headlines.
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Jupyter Notebook
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Last pushed
Feb 21, 2023
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