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Yoosin Kim
Researcher at University of Texas at Arlington
Publications - 16
Citations - 223
Yoosin Kim is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Sentiment analysis & Social media. The author has an hindex of 7, co-authored 16 publications receiving 198 citations. Previous affiliations of Yoosin Kim include Kookmin University.
Papers
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Text Opinion Mining to Analyze News for Stock Market Prediction
TL;DR: A method of mining text opinions to analyze Korean language news in order to predict rises and falls on the KOSPI (Korea Composite Stock Price Index) and it is revealed that news’ sentiment can be used in predicting stock price fluctuations, whether up or down.
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Competitive intelligence in social media Twitter: iPhone 6 vs. Galaxy S5
TL;DR: The analysis showed that social media data contain competitive intelligence, and the volume of tweets revealed a significant gap between the market leader and one follower; the purchase intention data also reflect this.
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Predicting the Direction of the Stock Index by Using a Domain-Specific Sentiment Dictionary
TL;DR: An intelligent investment decision-support model based on opinion mining is presented that performs the scrapping and parsing of massive volumes of economic news on the web, tags sentiment words, classifies sentiment polarity of the news, and finally predicts the direction of the next day`s stock index.
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Opinion-Mining Methodology for Social Media Analytics
Yoosin Kim,Seung Ryul Jeong +1 more
TL;DR: This study attempts to formulate a more comprehensive and practical methodology to conduct social media opinion mining and applies it to a case study of the oldest instant noodle product in Korea.
Stock-Index Invest Model Using News Big Data Opinion Mining
TL;DR: In this article, a stock-index invest model based on "News Big Data" opinion mining was proposed, which systematically collects, categorizes and analyzes the news and creates investment information.