Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Using User Created Game Reviews for Sentiment Analysis: A Method for Researching User Attitudes
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: Games-Human Interaction (GHITALY 2017), CEUR Workshop Proceedings , 2017Conference paper (Refereed)
Abstract [en]

This paper presents a method for gathering and evaluating user attitudes towards previously released video games. All user reviews from two video game franchise were collected. The most frequently mentioned words of the games were derived from this dataset through word frequency analysis. The words, called “aspects” were then further analyzed through a manual aspect based sentiment analysis. The final analysis show that the rating of user review to a high degree correlate with the sentiment of the aspect in question, if the data set is large enough. This knowledge is valuable for a developer who wishes to learn more about previous games success or failure factors

Place, publisher, year, edition, pages
CEUR Workshop Proceedings , 2017.
Keyword [en]
Sentiment; sentiment analysis; user created content; reviews
National Category
Human Computer Interaction
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-149278OAI: oai:DiVA.org:su-149278DiVA: diva2:1159994
Available from: 2017-11-24 Created: 2017-11-24

Open Access in DiVA

No full text

By organisation
Department of Computer and Systems Sciences
Human Computer Interaction

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 2 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf