Tidytext: Text Mining Data and Functions for Tidy Data Principles

tidytext is an R package authored by David M. Robinson that provides functions and supporting datasets for text mining. It facilitates the conversion of text to and from tidy data formats, enabling seamless integration with tools like 'dplyr' and 'ggplot2'. The package's scope and specific dataset sizes are not detailed in the provided metadata.

Use Cases

• Convert unstructured text into a tidy data frame format for analysis based on the package's core functionality.
• Perform text mining tasks like sentiment analysis or topic modeling using integrated tidy tools mentioned in the description.
• Switch between tidy data formats and outputs from other text mining packages using the provided conversion functions.

Strengths

• Built for consistency with widely-used R packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'.
• Provides specific functions for converting text to and from tidy formats as described.

Limitations

• Row count, column definitions, and dataset scale are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

David M. Robinson

Collection Method

Provided as part of an R package for text mining.