GOAALLL!: Using Sentiment in the World Cup to Explore Theories of Emotion (bibtex)
by Gratch, Jonathan, Lucas, Gale, Malandrakis, Nikolaos, Szablowski, Evan, Fessler, Eli and Nichols, Jeffrey
Abstract:
Sporting events evoke strong emotions amongst fans and thus act as natural laboratories to explore emotions and how they unfold in the wild. Computational tools, such as sentiment analysis, provide new ways to examine such dynamic emotional processes. In this article we use sentiment analysis to examine tweets posted during 2014 World Cup. Such analysis gives insight into how people respond to highly emotional events, and how these emotions are shaped by contextual factors, such as prior expectations, and how these emotions change as events unfold overtime. Here we report on some preliminary analysis of a World Cup twitter corpus using sentiment analysis techniques. We show these tools can give new insights into existing theories of what makes a sporting match exciting. This analysis seems to suggest that, contrary to assumptions in sports economics, excitement relates to expressions of negative emotion. We also discuss some challenges that such data present for existing sentiment analysis techniques and discuss future analysis.
Reference:
GOAALLL!: Using Sentiment in the World Cup to Explore Theories of Emotion (Gratch, Jonathan, Lucas, Gale, Malandrakis, Nikolaos, Szablowski, Evan, Fessler, Eli and Nichols, Jeffrey), In Proceedings of ACII 2015, IEEE, 2015.
Bibtex Entry:
@inproceedings{gratch_goaalll!:_2015,
	address = {Xi'an, China},
	title = {{GOAALLL}!: {Using} {Sentiment} in the {World} {Cup} to {Explore} {Theories} of {Emotion}},
	url = {http://ict.usc.edu/pubs/GOAALLL!%20Using%20Sentiment%20in%20the%20World%20Cup%20to%20Explore%20Theories%20of%20Emotion.pdf},
	abstract = {Sporting events evoke strong emotions amongst fans and thus act as natural laboratories to explore emotions and how they unfold in the wild. Computational tools, such as sentiment analysis, provide new ways to examine such dynamic emotional processes. In this article we use sentiment analysis to examine tweets posted during 2014 World Cup. Such analysis gives insight into how people respond to highly emotional events, and how these emotions are shaped by contextual factors, such as prior expectations, and how these emotions change as events unfold overtime. Here we report on some preliminary analysis of a World Cup twitter corpus using sentiment analysis techniques. We show these tools can give new insights into existing theories of what makes a sporting match exciting. This analysis seems to suggest that, contrary to assumptions in sports economics, excitement relates to expressions of negative emotion. We also discuss some challenges that such data present for existing sentiment analysis techniques and discuss future analysis.},
	booktitle = {Proceedings of {ACII} 2015},
	publisher = {IEEE},
	author = {Gratch, Jonathan and Lucas, Gale and Malandrakis, Nikolaos and Szablowski, Evan and Fessler, Eli and Nichols, Jeffrey},
	month = sep,
	year = {2015},
	keywords = {Virtual Humans, UARC}
}
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