This project is a Streamlit application that performs sentiment analysis on articles using TextBlob. It scrapes article text from a given URL, analyzes the sentiment, and visualizes the sentiment polarity and subjectivity.
- Scrapes text data from a given article URL
- Analyzes sentiment polarity and subjectivity using TextBlob
- Visualizes sentence-wise sentiment polarity and subjectivity
##To run this projext streamlit run sentiment_analysis_app.py
- Clone the repository:
git clone https://github.com/your-username/article-sentiment-analysis.git cd article-sentiment-analysis