emotions: Emotions Data
In transforEmotion: Sentiment Analysis for Text, Image and Video using Transformer Models
emotions R Documentation
Emotions Data
Description
A matrix containing words (n = 175,592) and the emotion category most frequently associated with each word.
This dataset is a modified version of the 'DepecheMood++' lexicon developed by
Araque, Gatti, Staiano, and Guerini (2018). For proper scoring, text should not be
stemmed prior to using this lexicon. This version of the lexicon does not
rely on part of speech tagging.
Usage
data(emotions)
Format
A data frame with 175,592 rows and 9 columns.
- word
An entry in the lexicon, in English
- AFRAID, AMUSED, ANGRY, ANNOYED, DONT_CARE, HAPPY, INSPIRED, SAD
The emotional category. All emotions contain either a 0 or 1. If the
category is most likely to be associated with the word, it recieves a 1, otherwise, 0.
Words are only associated with one category.
References
Araque, O., Gatti, L., Staiano, J., and Guerini, M. (2018).
DepecheMood++: A bilingual emotion lexicon built through simple yet powerful techniques.
ArXiv
Examples
data("emotions")
transforEmotion documentation built on Sept. 11, 2024, 9:26 p.m.
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| emotions | R Documentation |
Emotions Data
Description
A matrix containing words (n = 175,592) and the emotion category most frequently associated with each word. This dataset is a modified version of the 'DepecheMood++' lexicon developed by Araque, Gatti, Staiano, and Guerini (2018). For proper scoring, text should not be stemmed prior to using this lexicon. This version of the lexicon does not rely on part of speech tagging.
Usage
data(emotions)
Format
A data frame with 175,592 rows and 9 columns.
- word
An entry in the lexicon, in English
- AFRAID, AMUSED, ANGRY, ANNOYED, DONT_CARE, HAPPY, INSPIRED, SAD
The emotional category. All emotions contain either a 0 or 1. If the category is most likely to be associated with the word, it recieves a 1, otherwise, 0. Words are only associated with one category.
References
Araque, O., Gatti, L., Staiano, J., and Guerini, M. (2018). DepecheMood++: A bilingual emotion lexicon built through simple yet powerful techniques. ArXiv
Examples
data("emotions")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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