Supplementary Materials for Social Media Style Classification Research

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This repository contains supplementary materials for the research project "Research on Social Media Style Classification Based on Quantitative Indicators". It includes corpora, code for corpus processing, and data analysis tools.

📋 Table of Contents

• Supplementary Materials for Social Media Style Classification Research
  • 📋 Table of Contents
  • 🌟 Background
  • 📁 Repository Structure
  • 🔧 Installation
  • 🚀 Usage
  • 📊 Data
  • 🤝 Contributing
  • 🔗 Related Projects
  • 📄 License

🌟 Background

This repository serves as an attachment to my undergraduate graduation project, focusing on the classification of social media styles using quantitative indicators.

📁 Repository Structure

• Corpus/: Self-built corpora in txt format, named as "topic-form-platform"
• Code/: Python and R scripts for corpus cleaning and data analysis
• Data/: Quantitative linguistic analysis results from the corpora
• Report/: (Upcoming) Interactive reports with detailed corpus introductions and data visualizations

🔧 Installation

Clone the repository to your local machine:

git clone https://github.com/exusiaiwei/supp-social-media-style-2023.git
cd supp-social-media-style-2023

Ensure you have the necessary dependencies installed (list to be provided).

🚀 Usage

1. Navigate to the Code/ directory
2. Modify file paths in the scripts as needed
3. Run the desired Python or R scripts

For detailed instructions on each script, please refer to the comments within the code files.

📊 Data

The Data/ folder contains the results of quantitative linguistic analysis performed on the corpora. This data is available for replication studies by other researchers.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🔗 Related Projects

• Tieba_Spider: Modified for thesis data collection
• WeiboSpider: Used for thesis data collection

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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