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

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.