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http://dx.doi.org/10.13088/jiis.2018.24.4.051

Multi-Category Sentiment Analysis for Social Opinion Related to Artificial Intelligence on Social Media  

Lee, Sang Won (Dept. of Business Informatics, Graduate School, Hanyang University)
Choi, Chang Wook (Dept. of Business Informatics, Graduate School, Hanyang University)
Kim, Dong Sung (Dept. of Business Administration, Graduate School, Hanyang University)
Yeo, Woon Young (Dept. of Business Informatics, Graduate School, Hanyang University)
Kim, Jong Woo (School of Business, Hanyang University)
Publication Information
Journal of Intelligence and Information Systems / v.24, no.4, 2018 , pp. 51-66 More about this Journal
Abstract
As AI (Artificial Intelligence) technologies have been swiftly evolved, a lot of products and services are under development in various fields for better users' experience. On this technology advance, negative effects of AI technologies also have been discussed actively while there exists positive expectation on them at the same time. For instance, many social issues such as trolley dilemma and system security issues are being debated, whereas autonomous vehicles based on artificial intelligence have had attention in terms of stability increase. Therefore, it needs to check and analyse major social issues on artificial intelligence for their development and societal acceptance. In this paper, multi-categorical sentiment analysis is conducted over online public opinion on artificial intelligence after identifying the trending topics related to artificial intelligence for two years from January 2016 to December 2017, which include the event, match between Lee Sedol and AlphaGo. Using the largest web portal in South Korea, online news, news headlines and news comments were crawled. Considering the importance of trending topics, online public opinion was analysed into seven multiple sentimental categories comprised of anger, dislike, fear, happiness, neutrality, sadness, and surprise by topics, not only two simple positive or negative sentiment. As a result, it was found that the top sentiment is "happiness" in most events and yet sentiments on each keyword are different. In addition, when the research period was divided into four periods, the first half of 2016, the second half of the year, the first half of 2017, and the second half of the year, it is confirmed that the sentiment of 'anger' decreases as goes by time. Based on the results of this analysis, it is possible to grasp various topics and trends currently discussed on artificial intelligence, and it can be used to prepare countermeasures. We hope that we can improve to measure public opinion more precisely in the future by integrating empathy level of news comments.
Keywords
Artificial Intelligence; Sentimental Analysis; Social Opinion; Online News; Online comments;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Byeong-Cheol Jeon, "A Study on the Form of Abusive Words in the Reply," Studies in Linguistics, No. 11(2007), 189-205.
2 Chang Ho Park, "An Analysis on the Pros and Cons Presented in the Responses of Replies as Intermediated Interaction of the Internet," Discourse, The Korean Association of Socio-Historical Studies, Vol.16, No.2(2013), 135-164.
3 Dong Sung Kim, Kitae Kim, and Jong Woo Kim, "Character-based multi-category sentiment analysis on social media using deep learning algorithms," Korean Institute of Industrial Engineers Spring Joint Conference Journal Issue, (2017), 5082-5084.
4 Ekman, Paul, Friesen, Wallace V. , M. O'sullivan, A. Chan, I. Diacoyanni-Tarlatzis, K. Heider, R. Krause, W. A. LeCompte, T. Pitcaim, P. E. Ricci-Bitti, K. Scherer, M. Tomita, and A. Tzavaras, "Universals and Cultural Differences in the Judgments of Facial Expressions of Emotion," Journal of personality and social psychology, Vol.53, No.4(1987), 712-717.   DOI
5 Eun-Ju Lee and Yoon Jae Jang, "Effects of Others' Comments on Internet News Sites on Perceptions of Reality : Perceived Public Opinion, Presumed Media Influence, and Self-Opinion," Korean Journal of Journalism & Communication Studies, Vol. 53, No. 4 (2009), 50-71.
6 Jaeho Han, Woojeong Kim and Kyungsik Han, "Development of a Multi-Emotional Model for Online News Comments and Its Application," Human Computer Interaction Korea Conference, (2018), 893-897.
7 Eun-Mee Kim and Yu-Hwa Sun, "The Effect of Replies in Internet News on the Audience," Korean Journal of Journalism & Communication Studies, Vol. 50, No. 4 (2006), 33-64.
8 Hye Seung Yang, "The Effects of the Opinion and Quality of User Postings on Internet News Readers' Attitude Toward the News Issue," Korean Journal of Journalism & Communication Studies, Vol. 52, No. 2 (2008), 25-281.
9 Hyemi Kim and June Woong Rhee, "The Impacts of Frame Fusion of News Text and Comments on News Interpretation and Attitude", Korean Journal of Journalism & Communication Studies, Vol.55, No.2(2011), 32-55.
10 Ir-Kwon Jeong and Young-Seok Kim, "Impact of "Datgeul" of Online Media on Public Opinion : An Examination of Perception of Public Opinion and Third Person Effect," Korean Journal of Journalism & Communication Studies, Vol. 50, No. 4(2006), 302-327.
11 Kang Jae-Won and Kim Sun-Ja, "A Study on the Effect of Comments Posted under Internet News Articles : In Consideration of the Degree of Involvement in Issues and Whether or not Opinions are in Accord," Korean Journal of Journalism & Communication Studies, Vol. 56, No. 2(2012), 143-166.
12 Kim, D. S., and J. W. Kim, "Public Opinion Sensing and Trend Analysis on Social Media: A Study on Nuclear Power on Twitter", International Journal of Multimedia and Ubiquitous Engineering, (2014), 373-384.
13 Kim, Daewon and Kim, Beom-jin, "How AlphaGo does Change People's Perception of Introduction of Artificial Intelligence into Intellectual Work?," Journal of Cybercommunication Academic Society, Vol. 33, No. 4(2016), 107-158.
14 Young-Im Cho, "Understanding Big Data and main issues," Journal of Korean Association for Regional Information Society, Vol.16, No.3(2013), 43-65.
15 Moonjung Koh, "Who comments on or shares online news stories? : Application of statistical learning methodology," Journal of Cybercommunication Academic Society, Vol. 35, No. 1(2018), 5-51.
16 S.J.You, "4th Industrial Revolution and Artificial Intelligence," Journal of Korea Multimedia Society, Vol.21, No.4(2017), 1-8.
17 Seo In Kim, Dong Sung Kim and Jong Woo Kim, "Public Sentiment Analysis of Korean Top-10 Companies : Big Data Approach Using Multi-categorical Sentiment Lexicon," Journal of Intelligence and Information Systems, Vol. 22, No. 3(2016), 45-69.   DOI
18 Top Websites Ranking, Available at https://www.similarweb.com/top-websites/korea--republicof (Accessed May 15, 2018).
19 Won dong-kyu and Sang Pil Lee, "Implication of Artificial Intelligence and 4th Industrial Revolution," Industrial Engineering Magazine, Vol. 23, No. 2(2016), 13-22.