tidytext

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

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Related Categories

R Natural Language Processing (NLP) Tool

Registered

2025-07-30

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