hash_sentiment_emojis: Emoji Sentiment Polarity Lookup Table
In lexicon: Lexicons for Text Analysis

Description Usage Format Details Copyright References

A dataset containing an emoji identifier key and sentiment value. This data comes from Novak, Smailovic, Sluban, & Mozetic's (2015) emoji sentiment data. The authors used Twitter data and 83 coders to rate each of the the emoji uses as negative, neutral, or positive to form a probability distribution (p_{-}, p_{0}, p_{+}) (http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0144296&type=printable).. The sentiment score is calculated via the authors' formula: \frac{∑{(-1*p_{-}, 0 * p_{0}, p_{+}})}{∑{(p_{-}, p_{0}, p_{+}})}. This polarity lookup table differs from the other ones included in the lexicon package in the the first column are not words but identifiers. These identifiers are found in the emojis_sentiment data set. The typical use case is to utilize the textclean or sentimentr packages' replace_emoji to swap out emojis for a more computer friendly identifier.

1	data(hash_sentiment_emojis)

A data frame with 734 rows and 2 variables

x. Words
y. Sentiment

2015 - Department of Knowledge Technologies

Novak, P. K., Smailovic, J., Sluban, B., and Mozetic, I. (2015) Sentiment of emojis. PLoS ONE 10(12). doi:10.1371/journal.pone.0144296

http://kt.ijs.si/data/Emoji_sentiment_ranking/index.html

https://creativecommons.org/licenses/by-sa/4.0/

lexicon documentation built on May 2, 2019, 1:42 p.m.