Financial Domain Question Answering with pre-trained BERT Language Model
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Updated
Jun 12, 2023 - Python
Financial Domain Question Answering with pre-trained BERT Language Model
Stock Sentinel is a web app providing stock market investors with sentiment analysis and news aggregation. It uses FinBERT for sentiment analysis and offers stock information, similar stocks suggestions, summaries, and news stories. With real-time insights, it helps users make informed investment decisions. Installation is easy with cloning, depend
FinBERT pre-trained models as a containerized HTTP service.
Full code for my Medium article exploring the use of sentiment analysis as a buy trading signal.
Built for INDOvateAI Sprint 2025—where we secured second prize 🏆—this project empowers investors to make data-driven decisions in real-time.
The project leverages the integration of sentiment analysis from the FINBERT and RNN-based GAN models to predict Microsoft stock prices. (Dissertation 2024).
게이피케이션을 활용한 주식 포트폴리오 시각화 프로젝트입니다.
Can I decide if to invest or not based on the news of the month before?
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