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Sentiment Analysis of Korean Teenagers’ Language Based on Sentiment Dictionary Construction

Authors
Kim, J.Kim, M.K.Park, Y.Kim, E.Lee, J.Kim, D.Kim, S.
Issue Date
2019
Publisher
Springer Verlag
Keywords
Informal language; KoNLPy; Korean sentiment dictionary; Teenager; Text sentiment analysis; Web crawling
Citation
Lecture Notes in Electrical Engineering, v.542, pp 541 - 550
Pages
10
Indexed
SCOPUS
Journal Title
Lecture Notes in Electrical Engineering
Volume
542
Start Page
541
End Page
550
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/8550
DOI
10.1007/978-981-13-3648-5_63
ISSN
1876-1100
1876-1119
Abstract
This paper is to introduce Korean teenagers’ sentiment analysis through composing the Korean sentiment dictionary for teenagers’ language which is using KoNLPy and an algorithm for text sentiment analysis based on N-Gram concept which is used to calculate sentiment score from sentences. We gathered the text data (sentences) by web crawling several Korean web sites and using the Korean sentiment dictionary and algorithm described above, we conducted an experiment to analyze sentiment of the public. © 2019, Springer Nature Singapore Pte Ltd.
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