Project POSNEWS

This project is a full-stack application consisting of a frontend built with Next.js and React and a backend built with Flask. The backend integrates with the Azure Text Analytics API for sentiment analysis to filter out positive and neutral news articles fetched from an external news API, such as NewsAPI.

Table of Contents

• Project Overview
• Backend
  • Setup
  • Running the Server
  • API Endpoints
• Frontend
  • Setup
  • Running the Development Server
  • Building for Production
  • Project Structure

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Project Overview

The Positive News Project consists of a backend that fetches news articles from an external API, performs sentiment analysis using the Azure Text Analytics API, and filters out positive or neutral news articles. The frontend is a Next.js application that displays these filtered articles in a user-friendly manner.

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Backend

The backend is a Flask application that fetches news articles from an external API and performs sentiment analysis using Azure Text Analytics.

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Setup

1. Clone the repository:

    git clone <repository-url>
    cd backend

2. Install the dependencies:

+    pip install -r requirements.txt

3. Create a Azure Language Studio Resource:

+ https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/quickstart?tabs=windows&pivots=programming-language-python

4. Set up environment variables:

    Create a `.env` file in the `backend` directory and add your Azure Text Analytics credentials:

    LANGUAGE_KEY=your_language_key
    LANGUAGE_ENDPOINT=your_language_endpoint
    NEWSAPI_KEY=your_newsapi_key

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Running the Server

To run the Flask server, use the following command:

python app.py

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The server will start on http://127.0.0.1:5000.

API Endpoints

- GET /fetch_news: Fetches news articles and performs sentiment analysis to filter out positive and neutral news articles.

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Frontend: The frontend is a Next.js application that displays the news articles fetched by the backend.

Clone the repository:

git clone <repository-url>
cd frontend

Install the dependencies:

npm install

Configure the API endpoint:

In the .env.local file in the frontend directory, set the URL for the backend server:
NEXT_PUBLIC_BACKEND_URL=http://127.0.0.1:5000
Running the Development Server

To run the Next.js development server:

npm run dev
This will start the development server at http://localhost:3000.

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Backend Project Structure

backend/
├── app.py                  # Main Flask application file
├── requirements.txt        # Python dependencies
├── .env                    # Environment variables (for Azure and NewsAPI keys)
├── utils.py                # Helper functions for fetching news and performing sentiment analysis

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Frontend Project Structure

frontend/
├── pages/                  
│   ├── index.js            # Main page displaying the filtered news articles
├── components/             
│   ├── NewsCard.js         # Component for displaying each news article
│   ├── Navbar.js           # Navigation bar component
├── .env.local              # Local environment variables (e.g., backend URL)
├── package.json            # Node.js dependencies and scripts

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Dependencies:

Backend (Flask)
Flask
Requests
Python-dotenv
Azure Cognitive Services SDK
Frontend (Next.js)
React
Next.js
Axios (for making HTTP requests to the backend)

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