Welcome to the Text Analysis App! This intuitive web application, built with Streamlit, provides a seamless experience for analyzing text data. It offers a variety of features, from sentiment analysis to spam detection, to help you understand and process written content effectively.
- Sentiment Analysis: Classifies the sentiment of text as positive, negative, or neutral.
- Spam Detection: Identifies potential spam content in your text.
- Stress Detection: Analyzes the stress levels in the text you input.
- Sarcasm Detection: Detects sarcasm and subtle tones within the text.
- Hate Content Detection: Identifies offensive and harmful language.
To run this app, you'll need:
- Python 3.x
- Streamlit
- Pandas
- Scikit-learn
- Clone the repository:
git clone https://github.com/error-4u/Text-analysis-app.git
- Navigate into the project folder
cd Text-analysis-app - Install dependencies
pip install -r requirements.txt
- Run the app
streamlit run app.py