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

Clone the repository:

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

Create a virtual environment and activate it:

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

Install dependencies:
```
pip install -r requirements.txt
```
Set your NewsAPI key in app.py:
```
api_key = "your_newsapi_key_here"
```
Run the application:
```
python app.py
```
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