juliasilge/tidytext

Health v2 · maintenance only

Flags: no_license

Adoption not part of the score

1201 stars · 181 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

tidytext is an R package that applies tidy data principles to text mining, providing functions like unnest_tokens to convert text to and from tidy data frames. It integrates with dplyr, tidyr, broom, and ggplot2, and bridges to existing text mining packages and formats like document-term matrices.

Use cases

• tokenize text into tidy data frames in R
• compute tf-idf for term frequencies across documents
• do sentiment analysis on text corpora with tidy tools
• convert between tidy text format and document-term matrices
• analyze n-grams and word frequencies in R
• tidy topic modeling outputs for ggplot2 visualization

When to choose

• you work in R with tidyverse tools and need text mining
• you want text analysis results as tidy data frames for dplyr/ggplot2 workflows
• you need to interoperate with tm or quanteda-style corpus and DTM objects

When to avoid

• you need deep learning or transformer-based NLP
• you work outside R or prefer spaCy/NLTK pipelines
• you need production-scale streaming text processing

Facets

library · maturity stable

nlp parser data-science data-science python r tidyverse text-mining tokenization sentiment-analysis tf-idf cran natural-language-processing

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markdown · JSON · MCP: product_card(name="juliasilge/tidytext")