Example sentiment classification results from Hugging Face API — df_sentiment_classification

A sample dataset containing sentiment classification results generated using Hugging Face's classification API. This dataset demonstrates the structure of results returned by the hf_classify_batch() and hf_classify_df() functions.

Usage

df_sentiment_classification_example

Format

A data frame with 3 rows and 7 variables:

id: Integer; unique identifier for each text
text: Character; the original text that was classified
category: Character; category classification of the text
NEGATIVE: Numeric; probability score for negative sentiment (0-1)
POSITIVE: Numeric; probability score for positive sentiment (0-1)
.error: Logical; whether the classification process failed
.error_message: Character; error message if classification failed (NA if successful)

Source

Generated using Hugging Face sentiment classification model via EndpointR functions