LikithMeruvu/FinBert-Finetuning-for-Stock-Sentiment
I have fineTuned FinBert Model on 4.9k Financial News Headlines, Got 81-82% ACC and it perfrom well in Financial Stock News Sentiment Analysis
This project helps financial analysts and traders quickly understand the sentiment behind stock market news. You input financial news headlines or articles, and it tells you whether the sentiment is positive, negative, or neutral. This tool is for anyone who needs to gauge market sentiment from news stories to inform their investment decisions.
No commits in the last 6 months.
Use this if you need an automated way to classify the sentiment of financial news headlines to support trading or investment analysis.
Not ideal if you need to analyze sentiment for non-financial text or require highly nuanced, context-specific human-level interpretation.
Stars
12
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 04, 2024
Commits (30d)
0
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