Educational Forum Crawling System
Large-scale web scraping and Korean text mining system for educational content analysis
Overview
Developed a robust multi-platform web crawling system for educational forum analysis, featuring Korean morphological analysis and comprehensive text mining capabilities.
Key Features
- Multi-platform Crawling: Robust web scraping system for educational forums and platforms
- Korean Text Processing: Advanced morphological analysis and text preprocessing
- Automated Data Pipeline: Comprehensive data cleaning, filtering, and processing workflow
- Scalable Architecture: Error handling and recovery for large-scale data collection
Technical Implementation
- Web Scraping: Selenium WebDriver and BeautifulSoup for robust data extraction
- Korean NLP: KoNLPy for morphological analysis and text processing
- Data Processing: Automated cleaning, filtering, and export pipelines
- Error Handling: Comprehensive error recovery and retry mechanisms
Technologies Used
- Web Scraping: Selenium, BeautifulSoup, automated browser control
- Korean NLP: KoNLPy (Okt), morphological analysis, text preprocessing
- Data Processing: Pandas, automated data cleaning and filtering
- Automation: Excel automation, automated report generation
- Visualization: Matplotlib, Korean font handling, data visualization
Data Collection
- Successfully crawled thousands of educational posts and discussions
- Implemented robust data validation and quality control
- Created comprehensive Korean text analysis datasets
- Automated data export and visualization generation
Applications
- Educational content trend analysis
- Student discussion pattern recognition
- Automated content categorization and tagging
- Large-scale educational forum monitoring
Impact
Enabled large-scale analysis of Korean educational content with automated processing pipelines, providing insights for educational platform improvement.