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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