## Features

### Available in Both Local & Web

- Text preprocessing and tokenization
- Linguistic analysis via spaCy
- Word frequency analysis
- Log odds ratio comparison between categories
- Lexical dispersion visualization
- Sentiment analysis (lexicon and neural)
- Topic modeling (STM)
- Co-occurrence networks with node attribute controls
- Correlation networks with node attribute controls
- CSV, XLSX, TXT, PDF, DOCX import

### Local R Package Only

- Large file support (>10MB)
- AI-suggested topic labels via local and web-based APIs
- Multimodal PDF extraction with vision AI (OpenAI/Gemini)

## Linguistic Analysis Setup

```r
# Python spaCy required
TextAnalysisR::setup_python_env()
```

See the Installation tab for detailed setup instructions.
