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        <title>Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim</title>
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    <abstract>A weak point of rule-based sentiment analysis systems is that the underlying sentiment lexicons are often not adapted to the domain of the text we want to analyze. We created a game-specific sentiment lexicon for video game Skyrim based on the E-ANEW word list and a dataset of Skyrim’s in-game documents. We calculated sentiment ratings for NPC dialogue using both our lexicon and E-ANEW and compared the resulting sentiment ratings to those of human raters. Both lexicons perform comparably well on our evaluation dialogues, but the game-specific extension performs slightly better on the dominance dimension for dialogue segments and the arousal dimension for full dialogues. To our knowledge, this is the first time that a sentiment analysis lexicon has been adapted to the video game domain.</abstract>
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%0 Conference Proceedings
%T Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim
%A Bergsma, Thérèse
%A van Stegeren, Judith
%A Theune, Mariët
%Y Lukin, Stephanie M.
%S Workshop on Games and Natural Language Processing
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-40-5
%G English
%F bergsma-etal-2020-creating
%X A weak point of rule-based sentiment analysis systems is that the underlying sentiment lexicons are often not adapted to the domain of the text we want to analyze. We created a game-specific sentiment lexicon for video game Skyrim based on the E-ANEW word list and a dataset of Skyrim’s in-game documents. We calculated sentiment ratings for NPC dialogue using both our lexicon and E-ANEW and compared the resulting sentiment ratings to those of human raters. Both lexicons perform comparably well on our evaluation dialogues, but the game-specific extension performs slightly better on the dominance dimension for dialogue segments and the arousal dimension for full dialogues. To our knowledge, this is the first time that a sentiment analysis lexicon has been adapted to the video game domain.
%U https://aclanthology.org/2020.gamnlp-1.1
%P 1-9

Markdown (Informal)

[Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim](https://aclanthology.org/2020.gamnlp-1.1) (Bergsma et al., GAMESandNLP 2020)

• Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim (Bergsma et al., GAMESandNLP 2020)

ACL

• Thérèse Bergsma, Judith van Stegeren, and Mariët Theune. 2020. Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim. In Workshop on Games and Natural Language Processing, pages 1–9, Marseille, France. European Language Resources Association.