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https://doi.org/10.47960/2712-0457.2021.2.3.23

Application of Affective Lexicons in Sports Text Mining: a Case Study of FIFA World Cup 2018

Dino Avdić ; Fakultet elektrotehnike i računarstva, Sveučilište u Zagrebu, Zagreb, Hrvatska
Marina Bagić Babac orcid id orcid.org/0000-0003-4979-2216 ; Fakultet elektrotehnike i računarstva, Sveučilište u Zagrebu, Zagreb, Hrvatska


Puni tekst: hrvatski pdf 173 Kb

str. 33-33

preuzimanja: 23

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Puni tekst: engleski pdf 522 Kb

str. 23-33

preuzimanja: 174

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Sažetak

World Cup is a major football event that is globally popular and has its very best influence on human
emotions. As such, it affects how people verbally discuss football topics on the Internet. In addition,
it shows great significance when viewers who usually do not watch other football competitions start
paying close attention when their nation plays a World Cup football match. In this paper, fans’ online
behaviour during World Cup 2018 was analysed using text mining methods. With the use of emotion
analysis, it is noticed that there are different emotional states through which people go while sharing
their thoughts with other people about football. Reddit, a discussion Internet website, was used as a
generator of user data. Five supervised machine learning algorithms were used to test and revise an
existing model. It is affirmed that the model successfully predicts the emotions within the text with
an average accuracy of 78%.

Ključne riječi

text mining; emotion analysis; football; Reddit; machine learning

Hrčak ID:

274660

URI

https://hrcak.srce.hr/274660

Datum izdavanja:

30.12.2021.

Podaci na drugim jezicima: hrvatski

Posjeta: 425 *