A slightly modified version of 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: \(\frac{\sum{(-1*p_{-}, 0 * p_{0}, p_{+}})}{\sum{(p_{-}, p_{0}, p_{+}})}\).
data(emojis_sentiment)A data frame with 734 rows and 10 variables
2015 - Department of Knowledge Technologies
byte. Byte code representation of emojis
name. Description of the emoji
id. An id for the emoji
sentiment. Sentiment score of the emoji
polarity. The direction of the sentiment
category. A category for the emoji
frequency. How often the emoji occurred in Novak et. al.'s (2015) data
negative. How often Novak et al. (2015) observed the emoji being used negatively
neutral. How often Novak et al. (2015) observed the emoji being used neutrally
positive. How often Novak et al. (2015) observed the emoji being used positively
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/