References
- Eo D. S.(2015), Comparison of Learning Methods in Text Mining with Big Data, Department of Data Science Graduate School, Inje University.
- Heo C. and Ohn S. Y.(2017), "A Novel Method for Constructing Sentiment Dictionaries using Word2vec and Label Propagation," The Journal of Korean Institute of Next Generation Computing, vol. 13, no. 2, pp.93-101.
- Jang K. A., Park S. H. and Kim W. J.(2015), "Automatic Construction of a Negative/positive Corpus and Emotional Classification using the Internet Emotional Sign," Journal of KIISE, vol. 42, no. 4 pp.511-521.
- Jung Y. S., Um K. J. and Won M. S.(2013), An Innovative Approach for Traffic Safety Improvement Based on Public Involvement via Social Network Services, KOTI, 2013-08.
- Kim A. R. and Cho S. B(2017), "A Fusion Method of Co-training and Label Propagation for Prediction of Bank Telemarketing," Journal of KIISE, vol. 44, no. 7, pp.686-691. https://doi.org/10.5626/JOK.2017.44.7.686
- Kim K. O., Moon Y. J., Lee J. D. and Cho S. A.(2016), The Korea Transport Institute, A Fundamental Research on Public Perceptions on Ethics, Legal, and Social Acceptance of Autonomous Vehicles(AV).
- Kim S. G., Cho H. K. and Kang J. Y.(2016), "The Status of Using Text Mining in Academic Research and Analysis Methods," Journal of Information Technology and Architecture, vol. 13. no. 2, pp.317-329.
- Lee B. J., Kim K. H. and Park J. I.(2015), Korea Research Institute for Human Settlements, Advanced Infrastructure Technologies and National Territorial Development -Focusing on Autonomous Vehicles-.
- Lee D. H., Kang H. G., Kim S. H. and Lee C. M.(2013), "Autocorrelation Analysis of the Sentiment with Stock Information Appearing on Big-Data," The Korean Journal of Financial Engineering, vol. 12, no. 2, pp.79-96.
- Lee G. H. and Lee K. J.(2013), "Twitter Sentiment Analysis for the Recent Trend Extracted from the Newspaper Article," Korea Information Processing Society, vol. 2, no. 10, pp.731-738.
- Oh C. S., Lee Y. T. and Ko M. S.(2016), "Establishment of ITS Policy Issues Investigation Method in the Road Section applied Text mining," Korea Institute of Intelligent Transport Systems, vol. 15, no. 6, pp.10-23. https://doi.org/10.12815/kits.2016.15.6.010
- Oh J. S.(2015), "Identifying Research Opportunities in the Convergence of Transportation and ICT Using Text Mining Techniques," Journal of Transportation Research, vol. 22, no. 4, pp.93-110.
- Yang M. H., Jung I. S., Kim Y. T. and Cho W. S.(2014), "An Awareness Identification and Preference Analysis for Domestic University Using SNS Data," The Korea Big Data Service Society, vol. 1, no. 1, pp.1-13. https://doi.org/10.29268/stbd.2014.1.1.1
- Yoon H. J.(2016), Implementation of the Sentiment Analysis Algorithm with Korean Twitter Data, Graduate School of Seoul National University of Science and Technology.
Cited by
- A Study on the Korean Ethical Guideline of Autonomous Vehicles vol.1, pp.132, 2017, https://doi.org/10.15801/je.1.132.201812.203
- Generating Traffic Safety Test Scenarios for Automated Vehicles using a Big Data Technique vol.23, pp.6, 2017, https://doi.org/10.1007/s12205-019-1287-4
- For Preventative Automated Driving System (PADS): Traffic Accident Context Analysis Based on Deep Neural Networks vol.9, pp.11, 2017, https://doi.org/10.3390/electronics9111829
- Defining Smart Mobility Service Levels via Text Mining vol.12, pp.21, 2017, https://doi.org/10.3390/su12219293