juba/rainette
R implementation of the Reinert text clustering method
This tool helps researchers and analysts organize large collections of text, like interview transcripts, speeches, or articles, by automatically identifying key themes. You input your textual data, and it outputs organized groups of text segments with similar topics, along with interactive visualizations to explore these themes. It's designed for anyone who needs to find patterns and underlying structures within extensive text corpora.
Use this if you need to quickly categorize and understand the dominant subjects in a large volume of unstructured text.
Not ideal if you need a simple keyword search or already know the precise categories you're looking for in your text.
Stars
57
Forks
8
Language
R
License
—
Category
Last pushed
Jan 08, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/juba/rainette"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
quanteda/quanteda
An R package for the Quantitative Analysis of Textual Data
juliasilge/tidytext
Text mining using tidy tools :sparkles::page_facing_up::sparkles:
massimoaria/tall
Text Analysis for aLL
keyATM/keyATM
An R package for Keyword Assisted Topic Models
gagolews/stringi
Fast and Portable Character String Processing in R (with the Unicode ICU)