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http://dx.doi.org/10.7583/JKGS.2018.18.5.113

Construction and Evaluation of a Sentiment Dictionary Using a Web Corpus Collected from Game Domain  

Jeong, Woo-Young (School of Games, Hongik University)
Bae, Byung-Chull (School of Games, Hongik University)
Cho, Sung Hyun (School of Games, Hongik University)
Kang, Shin-Jin (School of Games, Hongik University)
Publication Information
Journal of Korea Game Society / v.18, no.5, 2018 , pp. 113-122 More about this Journal
Abstract
This paper describes an approach to building and evaluating a sentiment dictionary using a Web corpus in the game domain. To build a sentiment dictionary, we collected vocabulary based on game-related web documents from a domestic portal site, using the Twitter Korean Processor. From the collected vocabulary, we selected the words whose POS are tagged as either verbs or adjectives, and assigned sentiment score for each selected word. To evaluate the constructed sentiment dictionary, we calculated F1 score with precision and recall, using Korean-SWN that is based on English Senti-word Net(SWN). The evaluation results show that average F1 scores are 0.85 for adjectives and 0.77 for verbs, respectively.
Keywords
Game corpus; NLP; Sentiment analysis; Sentiment dictionary; Senti-word Net(SWN);
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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