# Installation

    library(TextAnalysisR)
    packageVersion("TextAnalysisR")

    ## [1] '0.1.4'

    data("SpecialEduTech")
    nrow(SpecialEduTech)

    ## [1] 490

    head(SpecialEduTech[, c("title", "year")], 3)

    ## # A tibble: 3 × 2
    ##   title                                                                     year
    ##   <chr>                                                                    <dbl>
    ## 1 Dyscalculia and the minicalculator: the ALP program                       1980
    ## 2 The effects of computer-assisted instruction for mastery of multiplicat…  1981
    ## 3 Computer Assisted Instruction with Learning Disabled Students             1981

## Choose a Setup

Goal | Setup
--- | ---
Small datasets in the browser | Web app at textanalysisr.org
Full analyses and large datasets | `install.packages()` below
spaCy annotation and local transformer models | `setup_python_env()` after installing

Python is optional. Core analyses run in plain R; cloud AI providers (OpenAI, Gemini) can substitute for local models with an API key.

## R Package

    install.packages("TextAnalysisR",
      repos = c("https://mshin77.r-universe.dev", "https://cloud.r-project.org"))
    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 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, set up Python with `TextAnalysisR::setup_python_env()`.

### Python Features

For embeddings and neural sentiment analysis, run `setup_python_env()`. Requires Python 3.9+.

## 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