Primjena afektivnih leksikona u analizi sportskih tekstova na primjeru Svjetskog nogometnog prvenstva 2018

undergraduate thesis

• Title (english): Application of affective lexicons in sports text mining: a case study of FIFA World Cup 2018
• Author: Dino Avdić
• Mentor: Marina Bagić Babac (mentor)
• Committee member: Marina Bagić Babac (predsjednik povjerenstva)
• Committee member: Igor Mekterović (član povjerenstva)
• Committee member: Mirjana Domazet-Lošo (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2019-09-17, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Svjetsko nogometno prvenstvo je najveći nogometni događaj koji je globalno popularan i koji ima veliki utjecaj na ljudske emocije, kao i na način izražavanja na temu nogometa na Internetu. Također, toliko je značajan da TV gledatelji koji obično ne prate ostala nogometna natjecanja počinju davati veliku pozornost kada njihova nacija igra utakmicu na Svjetskom prvenstvu. Stoga, u ovom radu je obrađeno ljudsko ponašanje za vrijeme Svjetskog nogometnog prvenstva 2018. Da se primijetiti da postoje različita emotivna stanja kroz koje ljudi prolaze dok razmjenjuje svoja mišljenja s drugim ljudima. Reddit, diskusijska web stranica, se koristila za dohvat podataka o korisnicima putem text mining-a. Pet algoritama strojnog učenja su iskorišteni da bi se testirao i revidirao postojeći model. Utvrđeno je da taj postojeći model uspješno predviđa količinu svake emocije unutar teksta sa zadovoljavajućom prosječnom točnošću od 78%.

Abstract (english)

World Cup is a major football event that is globally popular and has its very best influence on the human emotions, as well as a way of verbal expressions about the football topics on the Internet. Also, it shows great significance when TV viewers who usually don’t watch other football competitions start paying close attention when their nation plays a WC football match. So, in this thesis the human behavior was processed. It is noticed that there are different emotional states through which people pass while sharing their thoughts with other people. Reddit, a discussion Internet website, was used to generate user data via text mining. Five supervised machine learning algorithms were used to test and revise an existing model. It is affirmed that the model successfully predicts quantity of each emotion within text with the satisfying average accuracy of 78%.

• Keywords: text mining; sentiment analiza; nogomet; Reddit; supervised algoritmi; strojno učenje
• Keywords (english): text mining; sentiment analysis; football; Reddit; supervised algorithms; machine learning
• Language: english
• URN:NBN: urn:nbn:hr:168:269760
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-01-07 16:11:13