vrunm/Text-Classification-Financial-Phrase-Bank

Built a sentiment analysis model to predict the sentiment of a Financial News article. A comparative study of different optimizers used for training was done.

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Experimental

This project helps financial professionals quickly understand the sentiment of financial news. By inputting English financial news headlines, it outputs a classification of the sentiment (positive, neutral, or negative). This is useful for financial analysts, traders, or anyone needing to gauge market sentiment from news.

No commits in the last 6 months.

Use this if you need to automatically categorize the sentiment of financial news headlines with high accuracy.

Not ideal if you need to analyze sentiment for non-financial text or require in-depth, nuanced sentiment analysis beyond simple classification.

financial-sentiment-analysis market-news investment-research financial-trading
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 8 / 25
Community 11 / 25

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Stars

31

Forks

4

Language

Python

License

Last pushed

Dec 01, 2023

Commits (30d)

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