Naslov
Reviewing the Reviews – A Corpus Linguistics Analysis of GameSpot Reviews

Autori
Malenica, Frane

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni

Skup
Video Games as a Common Ground

Mjesto i datum
Zadar, Hrvatska, 02.09.-03.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Recenziran

Ključne riječi
collocations, corpus linguistics, keywords, n-grams, video game reviews, web scraping

Sažetak
Video games and video game reviews have become a valuable source of linguistics information and the focus of linguistic inquiry in recent decades. The correlation between video games and L2 vocabulary acquisition has been established by empirical research in the applied linguistics domain (Sylvén & Sundqvist 2012, Chen and Yang 2013, Zhonggen 2018, Vásquez & Ovalle 2019), which stimulated the idea of implementing different strategies in the paradigm of Game-Based Learning (cf. Santos 2017 and Kasemap 2017). Positive user-generated reviews are also shown to be correlated with increased playing time (Guzsvinecz 2022) and the use of NLP (Natural Language Processing) methodology allows us to analyse how different aspects of the game can have an effect on emotions experienced by the reviewers (Arik 2022, Britto & Pacifico 2020, Anees et al. 2020, Guzsvinecz 2022). Research by Cho et al. (2020) compares the feasibility and usefulness of qualitative human-based reviews versus automated text analysis methods and indicates that the machine-based methods can be successfully used for identifying the main topics of games, especially when dealing with large databases. This paper aims to employ a similar methodology as Cho et al. (2020) to compare the reviews of different game genres (e.g. Adventure, FPS, Sports, Strategy) collected from the GameSpot website (www.gamespot.com/). The reviews will be acquired via the rvest package (Wickham 2021) for webscraping in R and the analysis will be conducted using the traditional corpus linguistic methods for text analysis (e.g. collocations, keyword and n-gram analysis) from the quanteda package (Benoit et al. 2018). The main aim of the paper is to see whether there is a difference between reviews of games belonging to different genre in terms of the most frequent and/or the most representative words and phrases used.

Izvorni jezik
Engleski

Znanstvena područja
Filologija

POVEZANOST RADA