RedditPulse

Real-Time Reddit Sentiment Analysis

Overview

Features

1. Real-Time Sentiment Analysis:
   • Fetches the latest posts from a specified subreddit using the Reddit API.
   • Analyzes the sentiment of the posts' titles using the VADER sentiment analyzer.
2. Interactive UI:
   • Built with Gradio for an intuitive and responsive user experience.
   • Users can input a subreddit name and choose the number of posts to analyze.
3. Dynamic Sentiment Visualization (Optional):
   • Real-time sentiment scores are visualized using Plotly.
4. Average Sentiment Score:
   • Calculates the average sentiment score of the fetched posts.
5. Top Posts Sentiment:
   • Displays the sentiment of individual posts (title, sentiment category, and sentiment score).

Technologies Used

• Python: Core programming language for the project.
• PRAW (Python Reddit API Wrapper): To fetch real-time data from Reddit.
• VADER Sentiment Analyzer: For natural language processing and sentiment classification.
• Gradio: For building the interactive user interface.
• Plotly (Optional): For live data visualization.

Requirements

• Python 3.8+
• Dependencies:
  pip install praw gradio vaderSentiment plotly

How It Works

1. Fetching Reddit Data:
   • Uses the Reddit API (via PRAW) to fetch the latest posts from a user-specified subreddit.
   • Posts are fetched dynamically based on user input.
2. Sentiment Analysis:
   • The VADER Sentiment Analyzer calculates sentiment scores for each post title.
   • Sentiments are categorized as:
     • Positive: Compound score > 0
     • Negative: Compound score < 0
     • Neutral: Compound score = 0
3. Display Results:
   • The results include:
     • Average sentiment score of all posts.
     • Sentiment details (title, score, and category) for individual posts.
4. Interactive Interface:
   • A Gradio UI allows users to enter the subreddit name and number of posts to analyze.
   • Real-time updates ensure the latest data is fetched and analyzed.

Usage

1. Clone the repository:
   bash

   1git clone https://github.com/yashwantpatilyup/RedditPulse.git 2cd RedditPulse
2. Install required dependencies:
   pip install -r requirements.txt
3. Run the application:
   python app.py
4. Open the Gradio interface in your browser to interact with the app.

Example

1. Enter a subreddit name (e.g., python).
2. Choose the number of posts to fetch (e.g., 10).
3. View the following outputs:
   • Average Sentiment Score: An overall sentiment score for the subreddit.
   • Top Posts Sentiment: The sentiment details for the top 10 posts.
   • (Optional) Visualization: A live bar chart showing sentiment scores for all posts.

Deployment

• The application can be deployed on platforms like:
  • Hugging Face Spaces: Free hosting for Gradio apps.
  • Streamlit Sharing or Google Cloud Run.
  • AWS, Azure, or Heroku for scalable deployment.

Future Enhancements

1. Comment Sentiment Analysis:
   • Extend the functionality to analyze sentiment from comments.
2. Historical Sentiment Trends:
   • Compare sentiment over time by fetching older posts.
3. Alert System:
   • Notify users when sentiment exceeds a threshold.
4. Advanced NLP Models:
   • Integrate models like BERT or GPT for more nuanced sentiment analysis.
5. Live Sentiment Dashboard:
   • Add real-time data visualization with live graphs.

Credits

• PRAW: For seamless Reddit API integration.
• VADER Sentiment Analyzer: For accurate sentiment classification.
• Gradio: For the interactive and user-friendly interface.
• Plotly: For optional visualization features.