참고문헌
- Abdi. H., & Williams, L.J, "Principal Component Analysis". Wiley Interdisciplinary Reviews: Computational Statistics, Vol.2, No.4(2010), 433-459. https://doi.org/10.1002/wics.101
- A. Esuli and F. Sebastiani, "Sentiwordnet: A Publicly Available Lexical Resource for Opinion Mining," LREC (2006), 417-422.
- An J. K. and H. W. Kim, "Building a Korean Sentiment Lexicon Using Collective Intelligence," Journal of Intelligent Information Systems, Vol.21, No.2(2015), 49-67. https://doi.org/10.13088/jiis.2015.21.2.49
- A. Woolridge, "Social media provides huge opportunities, but will bring huge problems," Economist, (2011), 50.
- B.J. Finch, "Internet Discussions as a Source for Consumer Product Customer Involvement and Quality Information: an Exploratory Study," Journal of Operations Management, Vol.17, No.5(1999), 535-556. https://doi.org/10.1016/S0272-6963(99)00005-4
- B. Kessler, G. Numberg, and H. Schutze, "Automatic Detection of Text Genre," Meeting of the Association for Computational Linguistics (1997), 32-38.
- B. Kujawski, J. Holyst, and G. J. Rodgers, "Growing Trees in Internet News Groups and Forums," Physical Review, Vol.76 (2007), 103.
- B. Pang, L. Lee, and S. Vaithyanathan, "Thumbs up?: Sentiment Classification Using Machine Learning Techniques," The ACL-02 conference on Empirical Methods in Natural Language Processing, Vol.10 (2002), 79-86.
- B. Tronvoll, "Negative Emotions and Their Effect on Customer Complaint Behavior," Journal of Service Management, Vol.22 (2011), 111-134. https://doi.org/10.1108/09564231111106947
- Choi, Y.-J. and H. Choi, "A Study on the Customer Satisfaction Strategies of the Online Company Using VOC," Journal of Korean Industrial Economics and Business, Vol.3, No.1(2011), 73-93.
- C. Whitelaw, N. Garg, and S. Argamon, "Using Appraisal Groups for Sentiment Analysis," The 14th ACM International Conference on Information and Knowledge Management, (2005), 625-631.
- David A. Freedman. "Statistical Models: Theory and Practice". Cambridge University Press, 2009, 26.
- D.E. O'Leary, "Blog Mining-Review and Extensions: from Each according to His Opinion," Decision Support Systems, Vol.51, No.4(2011), 821-830. https://doi.org/10.1016/j.dss.2011.01.016
- D. Ward, P.H. Jesty, R.S. Rivett. "Decomposition Scheme in Automotive Hazard Analysis," SAE International Journal of Passenger Cars- Mechanical Systems, Vol.2, No.1(2009), 803-813. https://doi.org/10.4271/2009-01-0745
- E. Diener, H. Smith, and F. Fujita, "The Personality Structure of Affect," Journal of Personality and Social Psychology, Vol.69(1995), 130. https://doi.org/10.1037/0022-3514.69.1.130
- E. Spertus, "Smokey: Automatic Recognition of Hostile Messages," The National Conference on Artificial Intelligence, (1997), 1058-1065.
- G. A. Miller, "WordNet: a Lexical Database for English," Communications of the ACM, Vol.38 (1995).
- Gerald M. Katz, "One Right Way to Gather the Voice of the Customer," PDMA Visions Magazine, (2001).
- G. M. Ljung; G. E. P. Box, "On a Measure of a Lack of Fit in Time Series Models," Biometrika, Vol.65, No.2(1978), 297-303. https://doi.org/10.1093/biomet/65.2.297
- Hanjun Lee, JinYoung Han, Yongmoo Suh, "Gift or Threat? An Examination of Voice of the Customer: The Case of MyStarbucksIdea.com," Electronic Commerce Research and Applications, Vol.13 (2014), 205-219. https://doi.org/10.1016/j.elerap.2014.02.001
- Hilary L. Seal."The Historical Development of the Gauss Linear Model", Biometrika, Vol.54, No.1/2(1967), 1-24. https://doi.org/10.1093/biomet/54.1-2.1
- Hyun Won Jung, Ken Nah, A Study on the Meaning of Sensibility and Vocabulary System for Sensibility Evaluation, Journal of the Ergonomics Society of Korea, Vol.26, No.3(2007), 17-25. https://doi.org/10.5143/JESK.2007.26.3.017
- J. Bollen, H. Mao, and X. Zeng, "Twitter Mood Predicts the Stock Market," Journal of Computational Science, Vol.2 (2011), 1-8. https://doi.org/10.1016/j.jocs.2010.12.007
- J. S. Lerner and D. Keltner, "Beyond valence: Toward a Model of Emotion-specific Influences on Judgment and Choice," Cognition & Emotion, Vol.14 (2000), 473-493. https://doi.org/10.1080/026999300402763
- Jo H. J., J. H. Seo and J. T. Choi, "OAR Algorithm Technology Based on Opinion Mining Utilizing Stock News Contents," Journal of Korean Institute of Information Technology, Vol.13, No.2(2015), 111-119.
- Jung, "The Influence of Negative Emotions on Customer Contribution to Organizational Innovation in an Online Brand Community," Journal of Korean Society for Internet Information, Vol.14, No.4(2013), 91-100
- K. Coussement, D. Van den Poel, "Improving Customer Complaint Management by Automatic Email Classification using Linguistic style Features as Predictors," Decision Support Systems, Vol.44, No.4 (2008), 870-882. https://doi.org/10.1016/j.dss.2007.10.010
- Kim, Y., N. Kim, and S. R. Jeong, "Stock-index Invest Model Using News Big Data Opinion Mining," Journal of Intelligence and Information Systems, Vol.18, No.2(2012), 143-156. https://doi.org/10.13088/JIIS.2012.18.2.143
- Liu, Bing, "Sentiment Analysis and Subjectivity," Handbook of Natural Language Processing 2, (2010), 627-666.
- L.. Venkata Subramaniam, Tanveer A. Faruquie, Shajith Ikbal, Shantanu Godbole, Mukesh K. Mohania, "Business Intelligence from Voice of Customer," IEEE International Conference on Data Engineering (2009).
- L. Zhuang, F. Jing, X. Y. Zhu, and L. Zhang, "Movie Review Mining and Summarization," Conference on Information and Knowledge Management: Proceedings of the 15 th ACM International Conference on Information and Knowledge Management, (2006), 43-50.
- M. Thelwall, K. Buckley, and G. Paltoglou, "Sentiment in Twitter Events," Journal of the American Society for Information Science and Technology, Vol.62 (2011), 406-418. https://doi.org/10.1002/asi.21462
- N.C. Romano, C. Donovan, H. Chen, J. Nunamaker, "A Methodology for Analyzing Web-based Qualitative Data," Journal of Management Information Systems, Vol.19(4) (2003), 213-246. https://doi.org/10.1080/07421222.2003.11045741
- N. Li and D. D. Wu, "Using Text Mining and Sentiment Analysis for Online Forums Hotspot Detection and Forecast," Decision Support Systems, Vol.48 (2010), 354-368. https://doi.org/10.1016/j.dss.2009.09.003
- P.C. Tetlock, M. Saar-Tsechansky, S. Macskassy, "More than Words: Quantifying Language to Measure Firms' Fundamentals," Journal of Finance, Vol.63, No.3(2008), 1437-1467 https://doi.org/10.1111/j.1540-6261.2008.01362.x
- P.H. Jesty, K.M. Hobley, R. Evans, I. Kendall, Safety Analysis of Vehicle-based Systems, in: F. Redmill, T. Anderson (Eds.). "Lessons in System Safety, Proceedings of the 8th Safety-Critical Systems Symposium (SCSS)," Springer, London, 2000.
- Pearson, K, "Onlines and Planes of Closest Fit to Systems of Points in Space," Philosophical Magazine, Vol.2, No.11(1901), 559-572. https://doi.org/10.1080/14786440109462720
- R.G. Vedder, M.T. Vanecek, C.S. Guynes, J.J. Cappel. "CEO and CIO Perspectives on Competitive Intelligence," Communications of the ACM, Vol.42, No.8(1999), 108-116. https://doi.org/10.1145/310930.310982
- R.P. Schumaker, H. Chen, "Textual Analysis of Stockmarket Prediction Using Breaking Financial News: the AZFin Text System," ACM Transactions on Information Systems, Vol.27, No.2(2009).
- S. Argamon, M. Koppel, and G. Avneri, "Routing Documents according to Style," First International Workshop on Innovative Information Systems, (1998), 85-92.
- Song J. S., and S. W. Lee, "Automatic Construction of Positive/Negative FeaturePredicate Dictionary for Polarity Classification of Product Reviews," Journal of KIISE: Software and Applications, Vol.38, No.3(2013), 157-168.
- S. Spangler, J. Kreulen, "Mining the Talk: Unlocking the Business Value in Unstructured Information," IBM Press, 2008.
- Takeuchi, H., L. V. Subramaniam., T. Nasukawa, S. Roy, "Getting Insights from the Voices of Customers : Conversation Mining at a Contact Center," Information Science, Vol.179, No.11(2009), 1584-1591. https://doi.org/10.1016/j.ins.2008.11.026
- Turney P. D. and M.L. Littman, "Unsupervised Learning of Semantic Orientation from a Hundred-Billion-word Corpus," National Research Council, Institute for Information Technology, Technical Report (2002), ERB-1094.
- T. Loughran, B. McDonald. "When is a Liability not a Liability? Textual Analysis Dictionaries, and 10-Ks," Journal of Finance, Vol.661, No.1(2011), 35-65.
- T. Nasukawa and J. Yi, "Sentiment Analysis: Capturing Favorability Using Natural Language Processing," The 2nd International Conference on Knowledge Capture, (2003), 70-77.
- T. Wilson, J. Wiebe, and P. Hoffmann, "Recognizing Contextual Polarity: An Exploration of Features for Phrase-level Sentiment Analysis," Computational Linguistics, Vol.35 (2009), 399-433. https://doi.org/10.1162/coli.08-012-R1-06-90
- W. Duan, B. Gu, A.B. Whinston, "Do online reviews matter? - An Epirical Investigation of Panel Data," Decision Support Systems, Vol.45, No.4(2008), 1007-1016. https://doi.org/10.1016/j.dss.2008.04.001
- Yu E. J., Y. S. Kim, N. Y. Kim and S. R. Jeong, "Predicting the Direction of the Stock Index by Using a Domain-specific Sentiment Dictionary," Journal of Intelligent Information Systems, Vol.19, No.1(2013), 95-10 https://doi.org/10.13088/jiis.2013.19.1.095
- Yune, H., H.-J. Kim, J.-Y. Chang, "An Efficient Search Method of Product Review Using Opinion Mining Techniques," Journal of KIISE : Computing Practices and Letters, Vol.16, No.2(2010), 222-226.
- Zhuang, L., F. Jing, and X. Y. Zhu, "Movie Review Mining and Summarization," Proceedings of the 15th ACM International Conference on Information and Knowledge Management, (2006), 43-50.
피인용 문헌
- 한국표준산업분류를 기준으로 한 문서의 자동 분류 모델에 관한 연구 vol.24, pp.3, 2016, https://doi.org/10.13088/jiis.2018.24.3.221