Weibo Analysis Dashboard

An integrated application for crawling, analyzing, and visualizing Weibo data.

Overview

This project provides a web-based dashboard for analyzing Weibo content through N-gram analysis, word clouds, and engagement metrics. It consists of a Python backend with a simple HTTP server and an interactive HTML/JavaScript frontend.

Features

• Crawl Weibo data by keyword or user ID
• Generate word clouds to visualize frequently used terms
• N-gram analysis to identify common phrases
• Time series visualization of post frequency
• Engagement metrics showing top posts by likes, comments, and reposts
• Responsive web interface for easy analysis

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/weibo-analysis-dashboard.git
   cd weibo-analysis-dashboard
   

2. Install the required dependencies:

   pip install -r requirements.txt
   

3. Make sure you have a Chinese font installed on your system for proper word cloud rendering.

Usage

1. Run the application:

   python backend/app.py [port]
   

   Default port is 8080 if not specified.

2. A browser window will automatically open with the dashboard.

3. Enter a keyword or Weibo user ID, set the parameters, and click "Analyze" to start the crawling and analysis process.

4. Navigate through the analysis tabs to view different visualizations and insights.

Credits

The Weibo crawler functionality is based on the weibo-crawler project by dataabc, modified to integrate with the dashboard application.

Note

This application is for educational and research purposes only. Please respect Weibo's terms of service and API rate limits when using this tool.