Introduction | Key Problems Solved | Step 1: Authentication and Data Extraction | Step 2: Fetch and Standardize Metadata | Understanding the Metadata Structure | Step 3: Apply Sports Taxonomy | Step 4: Transform to Wide Format and Join | Step 5: Split by Test Type | Step 6: Patch Missing Metadata (Optional) | Step 7: Generate Summary Statistics | Step 8: Visualize Trends | Step 9: Compare Across Groups | Advanced: Multi-Test Analysis | Best Practices for Production Use | 1. Schedule Regular Updates | 2. Error Logging | 3. Version Control Your Taxonomy | Conclusion | Next Steps

Introduction | Installation | Setting Up Your Scopus API Key | Step 1: Retrieve Papers from Scopus | Step 2: Preprocess Text Data | Step 3: Create Document-Term Matrix | Step 4: Select Optimal Number of Topics | Step 5: Train Topic Model | Step 6: Visualize Topics | Top Terms per Topic | Topic Frequency Distribution | Topic Trends Over Time | Step 7: Keyword Co-occurrence Network | Advanced: Compare Multiple Models | Customizing Visualizations | Best Practices | Next Steps | Citation | References

Introduction | Motivation | Related Work | Contributions | Installation and Setup | Installation | API Configuration | Complete Workflow Example | Step 1: Literature Retrieval | Basic Query Syntax | Boolean Operators and Filters | Available Search Filters | Execute Search | Step 2: Text Preprocessing | Step 3: Document-Term Matrix | Step 4: Optimal Topic Number Selection | Step 5: Train Topic Model | Step 6: Model Comparison | Step 7: Visualization | Topic Terms Visualization | Topic Frequency Distribution | Topic Trends Over Time | Keyword Co-occurrence Network | Advanced Usage | Custom Preprocessing | Hyperparameter Tuning | Exporting Results | Case Study: Sports Analytics Literature | Research Question | Method | Results Interpretation | Computational Performance | Benchmarks | Optimization Tips | Best Practices | Reproducibility | Query Design | Preprocessing Decisions | Model Selection | Visualization | Summary | Key Features | Future Development | Acknowledgments | References | Computational Details | Appendix: Function Reference | Data Retrieval Functions | Preprocessing Functions | Topic Modeling Functions | Visualization Functions