Online Communication of eSports Viewers: Topic Modeling Approach
| Autor: | Denis Bulygin, Ksenia Konstantinova, Paul Okopny, Ilya Musabirov |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
060201 languages & linguistics
Topic model Multimedia Computer science 020204 information systems 0602 languages and literature ComputingMilieux_PERSONALCOMPUTING 0202 electrical engineering electronic engineering information engineering Emotional expression 06 humanities and the arts 02 engineering and technology computer.software_genre computer |
| Zdroj: | Advances in Computer Entertainment Technology ISBN: 9783319762692 ACE |
| DOI: | 10.1007/978-3-319-76270-8_42 |
| Popis: | This paper represents a brief overview of the communication of eSports viewers during the broadcasts of Dota 2 tournaments on the streaming platform Twitch.tv. We employed a topic modelling algorithm Twitter-LDA to analyse the contents of chat messages. We found that different stages of the stream can trigger different ways of behaviour depending on the type of the content. Game sessions more often had short emotional expressions, while breaks and moments of game inactivity included more analytical discussions and sociability. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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