Machine Learning in the Social Sciences
- Natural Language Processing (NLP)
- Domain Specific Large Language Models for Sociology
- Establishing evaluation benchmarks for domain-specific ML tasks
- Transfer learning and model optimization using domain knowledge
- Fine-tuning transformer models for social science applications
- Identifying and addressing biases in pre-trained models
- Social Network Analysis (SNA)
- Semantic Similarity Graphs
- Extraction of latent semantic structures in the discourse on social inequality
- Combining SNA and NLP approaches