Getting Started

TextAnalysisR provides text analysis through an interactive Shiny app or R code.

Language support

Primary language: English. Preprocessing and STM are language-agnostic (stopwords for 50+); embeddings and AI features can be multilingual; spaCy and the sentiment lexicons are English-only.

Install

install.packages("TextAnalysisR")

Launch App

library(TextAnalysisR)
run_app()

Or visit textanalysisr.org for the web version.

Quick Example

library(TextAnalysisR)

mydata <- SpecialEduTech
united_tbl <- unite_cols(mydata, listed_vars = c("title", "keyword", "abstract"))

tokens <- prep_texts(united_tbl, text_field = "united_texts")
dfm_object <- quanteda::dfm(tokens)

plot_word_frequency(dfm_object, n = 20)

Features

Category	Analyses
Lexical	Word frequency, keywords, networks
Semantic	Similarity, clustering, sentiment
Topic Modeling	STM and BERTopic