Скачать или смотреть FinBERT-Powered Financial Headline Scraper & Sentiment Labeling Tool Built with Streamlit

In this video, I showcase a custom Streamlit application I built for a client that combines real-time financial news scraping with zero-shot sentiment analysis using FinBERT (Hugging Face Transformers).

🧠 The tool helps automate financial data labeling, offering a user-friendly interface for manual correction, confidence visualization, and CSV export for further analysis or training.

🚀 Key Features:
Scrapes headlines from financial news sources

Classifies sentiment using FinBERT in a zero-shot setting

Interactive interface for reviewing and labeling headlines

Visual analytics: confidence distribution, confusion matrix, class comparison

Exports detailed results to CSV with sentiment score and correctness flag

This project is a real-world example of blending AI-powered NLP with intuitive Streamlit dashboards to support finance, research, and labeling workflows.

🔧 Built with: Streamlit, HuggingFace Transformers, Pandas, Seaborn, Matplotlib

✅ If you want a tool like this for your company or research project, reach out!

💬 Drop questions or feedback in the comments!

#FinBERT #Streamlit #ClientProject #FinancialNews #SentimentAnalysis #AIinFinance #NLP #PythonProjects #ZeroShotNLP #PortfolioProject

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