README.md

metadata

title: NewsAnalyzer
emoji: 📰
colorFrom: gray
colorTo: gray
sdk: docker
pinned: false

NewsAnalyzer

Live Demo

NewsAnalyzer is a web application that analyzes news articles using natural language processing (NLP) techniques. It helps users quickly understand the sentiment, key topics, and overall trends in the latest news based on any search query.

Features

• Search for recent news articles using NewsAPI
• Perform sentiment analysis to determine whether each article is positive or negative
• Automatically categorize articles into topics such as business, technology, politics, and more
• Generate concise summaries for each article
• Extract the most frequently mentioned words and display them in a word cloud
• Visualize sentiment distribution and trending words in clear charts
• Cache recent searches for improved performance

Technologies

• Flask for backend logic and routing
• Hugging Face Transformers for NLP tasks:
  • Sentiment analysis: distilbert-base-uncased-finetuned-sst-2-english
  • Topic classification: cardiffnlp/tweet-topic-21-multi
  • Summarization: facebook/bart-large-cnn
• NLTK for tokenization and text preprocessing
• Matplotlib and WordCloud for visualizations
• NewsAPI for retrieving real-time news articles

Installation

1. Clone the repository:

   git clone https://github.com/ihaveaplan66/news-analyzer.git
   cd NewsAnalyzer
   

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate   # Windows: venv\Scripts\activate
   

3. Install dependencies:

   pip install -r requirements.txt
   

4. Set your NewsAPI key in app.py:

   api_key = "your_newsapi_key_here"
   

5. Run the application:

   python app.py
   

6. Open the application in your browser:

   http://localhost:5000
   

License

This project is part of my personal portfolio and is provided under the MIT License.

Author

Created by Volodymyr Shereperov