참고문헌
- Lee, H. G., Kwak H., (2013) Investigation of Factors Affecting the Effects of Online Consumer Reviews, Journal of Informatization Policy, 20(3). pp. 3-17.
- 2010 Survey on Internet Use, Korea Internet & Security Agency.
- Yong, H. R., Kim, D. J., Hwang, H. S., (2015) A Study of Analyzing Realtime Strategy Game Data using Data Mining, Journal of Korea Game Society, 15(4), pp. 56-68.
- Kim, J. K., (2016) Domestic and foreign big data trends and success cases, IE Magazine, 23(1), pp. 47-52.
- Peterson, R.A & Maria, C. M (2003), Consumer Behavior(7th ed), Upper Saddle River, NJ: Prentice-Hall, Inc
- Thopson, N. (2003), "More companies pay heed to their 'word of mouse' reputation", New York Times, June 23.
- Bickart, B. & Schindler, R. (2001), Internet Forums as Influential Sources of Consumer Information, Journal of Interactive Marketing, 15(3), pp. 31-40. https://doi.org/10.1002/dir.1014
- Kim, J., Byeon, H., Lee, S. H., (2011) Enhancement of User Understanding and Service Value Using Online Reviews, The Journal of information systems, 20(2). pp. 21-36. https://doi.org/10.5859/KAIS.2011.20.2.21
- Chen, Y. & Xie, J. (2008), Online consumer review : Word of mouth as a new element or marketing communication mix, Management Science, 54(3) pp. 477-491. https://doi.org/10.1287/mnsc.1070.0810
- Kang, H. N., Yong, H. R., & Hwang, H. S. (2016). Brand Clustering Based on Social Big Data: A Case Study. International Journal of Software Engineering and Its Applications, 10(4), pp. 27-36.
- Hwang, H. S., (2016) Clustering Corporate Brands based on Opinion Mining: A Case Study of the Automobile Industry, Journal of the Korea Academia-Industrial cooperation Society, 17(11), pp. 453-462. https://doi.org/10.5762/KAIS.2016.17.11.453
- Cheon, Y., Kwak, K. T., (2015) Collective Sentiments and Users' Feedback to Game Contents : Analysis of Mobile Game UX based on Social Big Data Mining, Journal of Korea Game Society, 15(4), pp. 145-156. https://doi.org/10.7583/JKGS.2015.15.4.145
- Jang, P. S., (2014) Study on Principal Sentiment Analysis of Social Data, Journal of the Korea Society of Computer and Information, 19(12), pp. 49-56. https://doi.org/10.9708/JKSCI.2014.19.12.049
- Kim, M. J., Song, E. J., Kim, Y. H., (2016) A Design of Satisfaction Analysis System For Content Using Opinion Mining of Online Review Data , Journal of Internet Computing and Services, 17(3), 107-113. https://doi.org/10.7472/jksii.2016.17.3.107
- Kim, K., Kim, D. Y., Lee, J. H., (2014) Measuring Similarity Between Movies Based on Polarity of Tweets, Journal of Korean Institute of Intelligent Systems, 24(3), pp. 292-297. https://doi.org/10.5391/JKIIS.2014.24.3.292
- Song, E. J., (2015) The Sensitivity Analysis for Customer Feedback on Social Media, Journal of the Korea Institute of Information and Communication Engineering, 19(4), pp. 780-786. https://doi.org/10.6109/jkiice.2015.19.4.780
- B. Liu, (2012), Sentiment Analysis and opinion mining(Synthesis Lectures on Human Language Technologies), Morgan & ClayPool
- Mudambi, S. M. & Schuff, D. (2010). What Makes a Helpful Online Review? A Study of Customer Reviews on Amazon.com, MIS Quarterly, 34(1), pp. 185-200. https://doi.org/10.2307/20721420
- Kwon, J., Lee, M., (2012) A Study on the Determining Factors of Online Review Helpfulness, Proceedings of Korea Intelligent Information Systems Society. pp. 205-211.
- Josang, A. & smail, R. & Boyd, C. (2007), A survey of trust and reputation systems form online service provision, Decision support systems, 43(2), pp. 618-644. https://doi.org/10.1016/j.dss.2005.05.019
- Cheung, M. Y. & Luo, C. & Sia, C.L. & Chen, H. (2009), Credibility of Electronic Word of- Mouth: Informational and Normative Determinants of On-line Consumer Recommendations, International Journal of Electronic Commerce, 13(4), pp. 9-38. https://doi.org/10.2753/JEC1086-4415130402
- Briggs, P. & Burford, B. & De Angeli, A & Lynch, P. (2002), Trust in online advice, Social Science Computer Review, 20(3), pp. 321-332. https://doi.org/10.1177/089443930202000309
- Forman, C. & Ghose, A. & Wiesenfeld, B. 2008, Do online reviews matters? - An empirical investigation of panel data, Decision Support Systems, 45(4), pp. 1007-1016. https://doi.org/10.1016/j.dss.2008.04.001
- Jeon, C. H., (2012), Data Mining Techniques, Hannarea.
- Jensen, J. R., Qiu, F., M. Ji,(1999), Predictive Modeling of coniferous Forest Age Using Statistical and Artificial Neural network Approaches Applied to Remote Sensing Data, International Journal of Remote Sensing, 20(14), pp. 2805-2822. https://doi.org/10.1080/014311699211804
- Rao, V. B., H. V. Rao, (2993), "C++ Neural Network and Fuzzy Logic," New York: Management Information, pp. 408.
- Hengl, T. (1993), Neural Network : A Neural computing Primer, Personal Computing Artificial Intelligence, 16(3), pp. 32-43.
- Cortes, C., Vapnik, V., (1995), Support-vector network, Machine Learning 20, pp.273-297
- Kim, E., Jhun, M., Bang, S., (2016) Hierarchically penalized support vector machine for the classification of imbalanced data with grouped variables, The Korean journal of applied statistics, 29(5), pp. 961-975. https://doi.org/10.5351/KJAS.2016.29.5.961
- Park, J., Chae, M., Jung, S., (2016) Classification Model of Types of Crime based on Random-Forest Algorithms and Monitoring Interface Design Factors for Real-time Crime Prediction, 22(9), pp. 455-460. https://doi.org/10.5626/KTCP.2016.22.9.455
- Jeong, S. K., Choi, M. S., Kim, H. S., (2016) Coreference Resolution for Korean Using Random Forests, KIPS transactions on software and data engineering,, 5(11), pp. 535-540. https://doi.org/10.3745/KTSDE.2016.5.11.535
- Lee, S. H., Lee, L. S., & Hwang, H. S. (2017). Does Social Opinion Influence Movie Ticket Revenues?: A Case Study. Advanced Science Letters, 23(3), 1627-1630. https://doi.org/10.1166/asl.2017.8616
- Kim, I. J., (2014) Big Data Deep Learning: A New Trend in Machine Learning, The Journal of Korean Institute of Communications and Information Sciences, 31(11), pp. 52-57.
- Choi, Y. S., (2015), Current status and future of Deep Learning and Intelligent Technology, IE Magazine, 22(2), pp. 31-35.