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http://dx.doi.org/10.9728/dcs.2017.18.3.585

A domain-specific sentiment lexicon construction method for stock index directionality  

Kim, Jae-Bong (Department of Big Data Application and Security, Korea University)
Kim, Hyoung-Joong (Department of Big Data Application and Security, Korea University)
Publication Information
Journal of Digital Contents Society / v.18, no.3, 2017 , pp. 585-592 More about this Journal
Abstract
As development of personal devices have made everyday use of internet much easier than before, it is getting generalized to find information and share it through the social media. In particular, communities specialized in each field have become so powerful that they can significantly influence our society. Finally, businesses and governments pay attentions to reflecting their opinions in their strategies. The stock market fluctuates with various factors of society. In order to consider social trends, many studies have tried making use of bigdata analysis on stock market researches as well as traditional approaches using buzz amount. In the example at the top, the studies using text data such as newspaper articles are being published. In this paper, we analyzed the post of 'Paxnet', a securities specialists' site, to supplement the limitation of the news. Based on this, we help researchers analyze the sentiment of investors by generating a domain-specific sentiment lexicon for the stock market.
Keywords
Opinion Mining; Sentiment analysis; Corpus; Sentiment lexicon;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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