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Found 4 Skills
Computational text analysis for sociology research using R or Python. Guides you through topic models, sentiment analysis, classification, and embeddings with systematic validation. Supports both traditional (LDA, STM) and neural (BERT, BERTopic) methods.
Draft publication-ready Theory sections for sociology research. Guides structure, paragraph functions, sentence craft, and calibration based on analysis of 80 Social Problems/Social Forces articles.
Write-up support for qualitative interview research in sociology. Guides methods and findings drafting with emphasis on argument-driven narrative, not formulaic quote display.
Identify your article's contribution type and generate a cross-section vocabulary threading template. Feeds into argument-builder, article-bookends, and abstract-builder for consistent framing across all sections. Based on analysis of 197 articles from AJS, ASR, Social Problems, Social Forces, Social Movement Studies, and Mobilization.