R Package
install.packages("remotes")
remotes::install_github("mshin77/TextAnalysisR")
library(TextAnalysisR)
run_app()Requirements: R >= 4.0, RStudio recommended
Web App
Visit textanalysisr.org - no installation needed.
Note: Web version has limited features (no Python, no AI, no large files).
Optional Features
Linguistic Analysis (spaCy)
For lemmatization, POS tagging, and named entity recognition:
# Python spaCy required - see setup_python_env()
TextAnalysisR::setup_python_env()Python Features
For PDF tables, embeddings, and topic-grounded analysis:
Requires Python 3.9+ and optionally Ollama for local AI.
Troubleshooting
| Issue | Solution |
|---|---|
| Package install failed | remotes::install_github("mshin77/TextAnalysisR", dependencies = TRUE) |
| Browser doesn’t open | Navigate to URL shown in R console |
| Python errors | See Python Environment |
Responsible AI Design
TextAnalysisR follows responsible AI principles with human oversight:
- AI Suggests: LLMs generate draft labels, content, and recommendations
- Human Reviews: You examine all AI outputs before use
- Human Decides: Edit, approve, or regenerate as needed
- Human Controls: Override any AI suggestion with manual input
This approach aligns with NIST AI Risk Management Framework and EU AI Act requirements for meaningful human control.