@inproceedings{bergsma-etal-2020-creating,
    title = "Creating a Sentiment Lexicon with Game-Specific Words for Analyzing {NPC} Dialogue in The Elder Scrolls {V}: Skyrim",
    author = {Bergsma, Th{\'e}r{\`e}se  and
      van Stegeren, Judith  and
      Theune, Mari{\"e}t},
    editor = "Lukin, Stephanie M.",
    booktitle = "Workshop on Games and Natural Language Processing",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.gamnlp-1.1/",
    pages = "1--9",
    language = "eng",
    ISBN = "979-10-95546-40-5",
    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."
}