Installation • TextAnalysisR

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