Text Analysis App

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.

🚀 Features

• 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.

🛠️ Requirements

To run this app, you'll need:

• Python 3.x
• Streamlit
• Pandas
• Scikit-learn

📦 Installation

1. Clone the repository:

   git clone https://github.com/error-4u/Text-analysis-app.git

2. Navigate into the project folder

   cd Text-analysis-app

3. Install dependencies

   pip install -r requirements.txt

4. Run the app

   streamlit run app.py