Guides social science researchers through systematic computational text analysis using R and Python workflows.
The Text Analyst skill transforms Claude into a specialized research assistant for quantitative and qualitative sociological research. It provides a rigorous, five-phase framework that moves from initial research design and corpus preparation to model specification, analysis, and systematic validation. By supporting both R (ideal for Structural Topic Models and tidytext) and Python (preferred for BERTopic and Transformers), the skill ensures researchers use the most appropriate tools for their specific questions while maintaining high standards for reproducibility and human-validated interpretation.
主な機能
01Comprehensive validation strategies including human-in-the-loop diagnostics
029 GitHub stars
03Structured 5-phase research workflow from design to publication
04Dual-language support for R (stm, tidytext) and Python (spaCy, BERTopic)
05Methodological guidance for topic modeling, sentiment analysis, and embeddings
06Standardized project directory structure for reproducible social science
ユースケース
01Analyzing large-scale news archives or interview transcripts using Structural Topic Models (STM)
02Measuring latent semantic shifts in historical documents using word embeddings and longitudinal analysis
03Classifying social media discourse using supervised machine learning or BERT-based transformers
