📰 Real-Time News Analysis Dashboard

A powerful news analytics platform that fetches, analyzes, and visualizes news articles in real-time using sentiment analysis and topic modeling.

🌟 Features

• Real-time News Fetching: Retrieve latest news articles from various sources using NewsAPI
• Sentiment Analysis: Analyze the emotional tone of news articles (Positive, Neutral, Negative)
• Topic Modeling: Automatically categorize articles into relevant topics
• Interactive Visualizations:
  • Sentiment distribution charts
  • Topic distribution pie charts
  • Sentiment trends over time
  • Topic-specific word clouds
• Customizable Filters: Filter articles by sentiment, source, and topic
• Auto-update: Configurable automatic refresh of news data

🚀 Getting Started

1. Set your NewsAPI key as an environment variable:

   export NEWS_API_KEY="your_api_key_here"

2. Install required packages:

   pip install matplotlib nltk pandas plotly scikit-learn streamlit trafilatura wordcloud

3. Run the application:

   streamlit run app.py

🛠️ Technology Stack

• Frontend: Streamlit
• Data Processing: Pandas, NumPy
• Natural Language Processing: NLTK, Scikit-learn
• Visualization: Plotly, Matplotlib, WordCloud
• News Data: NewsAPI

📊 Components

• app.py: Main application and UI logic
• news_fetcher.py: Handles news article retrieval
• sentiment_analyzer.py: Performs sentiment analysis
• topic_modeler.py: Implements topic modeling
• data_visualizer.py: Creates interactive visualizations
• utils.py: Utility functions for data processing

🎛️ Configuration

• Customize search parameters in the sidebar
• Adjust update frequency (15-120 minutes)
• Filter results by sentiment, source, and topic
• Configure auto-update functionality

📈 Visualizations

• Sentiment Distribution: Bar chart showing positive, neutral, and negative article counts
• Sentiment Trends: Line chart tracking sentiment changes over time
• Topic Distribution: Pie chart displaying article distribution across topics
• Word Clouds: Visual representation of key terms in each topic