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## [1] '0.1.4'
## [1] 490
## # 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
| 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.
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
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.
For lemmatization, POS tagging, and named entity recognition, set up
Python with TextAnalysisR::setup_python_env().
For embeddings and neural sentiment analysis, run
setup_python_env(). Requires Python 3.9+.
| 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 |
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.