tidytext brings tidy data principles to text mining by converting text into a tidy data frame format. It provides tools for tokenization, sentiment analysis, n‑gram creation, and term‑document matrices, enabling interoperability with dplyr, ggplot2, and other tidyverse workflows.
Features
- Tokenizes text into tidy format (unnest_tokens)
- Supports sentiment lexicons (e.g. Bing, NRC) and TF-IDF computation
- Converts tm or quanteda objects into tidy data formats
- Easy integration with dplyr/ggplot2 for analysis and visualization
- Functions for n-grams, word co-occurrence, and document-term matrices
- Compatible with existing tidy data pipelines in R
Project Samples
Categories
Natural Language Processing (NLP)Follow tidytext
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