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Sentiment Analysis of Twitch Chats (CROSBI ID 434654)

Ocjenski rad | sveučilišni preddiplomski završni rad

Leonardo Čuljak Sentiment Analysis of Twitch Chats / Bagić Babac, Marina (mentor); Zagreb, Fakultet elektrotehnike i računarstva, . 2020

Podaci o odgovornosti

Leonardo Čuljak

Bagić Babac, Marina

engleski

Sentiment Analysis of Twitch Chats

Video gameplay has traditionally been social, with arcades providing an outlet for public play and consoles, allowing people to play together at home. Onlookers are not limited to being passive spectatorships as they are also provided the opportunity to engage directly with the player, with gameplay livestreaming being the newest iteration. Live streaming of video games has become dominated in most countries by the website Twitch.tv, where challenge concerns highly skilled players with minimal communication and exchange, conversely, prioritizes showmanship over gameplay. This thesis focuses on common communication characteristics of viewers who often send single messages and streamers who elaborate. Based on a large real dataset of livestream chats, this thesis uses sentiment analysis to explore and compare the findings of different communication theories regarding viewers and how they perceive streamers along the spectrum of different sentiments.

Twitch.TV ; sentiment analysis ; Natural Language Processing

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Podaci o izdanju

38

01.07.2020.

obranjeno

Podaci o ustanovi koja je dodijelila akademski stupanj

Fakultet elektrotehnike i računarstva

Zagreb

Povezanost rada

Računarstvo