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 local AI via Ollama, no large files). Cloud AI providers (OpenAI, Gemini) are available with an API key.
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 embeddings and neural sentiment 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.