GOAALLL!: Using sentiment in the world cup to explore theories of emotion
| Autor: | Evan Szablowski, Jeffrey Nichols, Gale M. Lucas, Jonathan Gratch, Eli Fessler, Nikolaos Malandrakis |
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| Rok vydání: | 2017 |
| Předmět: |
Multimedia
Sentiment analysis 02 engineering and technology computer.software_genre Preliminary analysis 030507 speech-language pathology & audiology 03 medical and health sciences Signal Processing 0202 electrical engineering electronic engineering information engineering Sports economics Natural (music) 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition 0305 other medical science Psychology Social psychology Negative emotion computer Cognitive psychology |
| Zdroj: | ACII |
| ISSN: | 0262-8856 |
| Popis: | Sporting events evoke strong emotions among 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 over time. Here we report on some preliminary analysis of a World Cup twitter corpus using sentiment analysis techniques. After performing initial tests of validation for sentiment analysis on data in this corpus, 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. The results are discussed in terms of innovations in methodology and understanding the role of emotion for “tuning in” to real world events. We also discuss some challenges that such data present for existing sentiment analysis techniques and discuss future analysis. |
| Databáze: | OpenAIRE |
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