Data for: Predicting emotion reactions to news articles in social networks
Description of this data
Corpus of Spanish news articles with annotated emotional reaction distribution from tweet responses. 288 news articles, published from 01-01-20015 to 01-01-2017, were collected from three Mexican newspapers (El Universal, La Jornada and Excelsior). The annotation task was developed by four different annotators during a three month period and they tagged the emotions expressed in tweet responses to each news article. Counting of the emotions expressed in tweet responses was used to determine the distribution of these emotions in the news articles.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Gambino, Omar J; Calvo, Hiram (2019), “Data for: Predicting emotion reactions to news articles in social networks”, Mendeley Data, v1 http://dx.doi.org/10.17632/t9jbz6hktn.1