References
- 강주연, 이이든, 김지수, "텍스트 마이닝을 활용한 'Z 세대'관련 뉴스데이터 의미연결망 분석," 미래청소년학회지, 제17권, 2020, pp. 25-48.
- 고흥석, 신중현, "디지털 네이티브 세대의 미디어 이용행태에 관한 탐색적 연구," 한국콘텐츠학회논문지, 제18권, 제3호, 2018, pp. 1-10. https://doi.org/10.5392/JKCA.2018.18.03.001
- 권종원, 송태승, "제조 혁신 위한 플랫폼 기반의 디지털 트랜스포메이션 추진 동향," 전자공학회지, 제46권, 제12호, 2019, pp. 34-46.
- 김철원, 박선, "의미특징과 워드넷 기반의 의사 연관 피드백을 사용한 질의기반 문서요약," 한국정보통신학회논문지 제15권, 제7호, 2011, pp. 1517-1524. https://doi.org/10.6109/jkiice.2011.15.7.1517
- 박선, 김경준, 김경호, 이성로 "의미특징 기반의 용어 가중치 재산정을 이용한 문서군집의 성능 향상," 한국정보통신학회논문지, 제17권, 제2호, 2013, pp. 347-354. https://doi.org/10.6109/jkiice.2013.17.2.347
- 이종화, "Python을 이용한 SNS 크롤링 시스템 구축," 한국산업정보학회논문지, 제23권, 제5호, 2018, pp. 61-76. https://doi.org/10.9723/JKSIIS.2018.23.5.061
- 이종화, 이문봉, 김종원, "TF-IDF 를 활용한 한글 자연어 처리 연구," 정보시스템연구 제28권, 제3호, 2019, pp. 105-121.
- 이종화, 이윤재, 이현규, "SNS 의 해시태그를 이용한 감정 단어 수집 시스템 개발," 정보시스템연구, 제27권, 제2호, 2018, pp. 77-94.
- 이종화, "SNS 해시태그를 이용한 감정 단어 일반화 연구," 인터넷전자상거래연구 제18궈, 제4호, 2018, pp. 53-63.
- 이진수, "데이터 사이언스 기반의 디지털 트랜스포메이션," 방송과 미디어 제22권, 제4호, 2017, pp. 18-25.
- Balahur, A., Hermida, J. M., and Montoyo, A., "Detecting implicit expressions of emotion in text: A comparative analysis," Decision Support Systems, Vol. 53, No. 4, 2012, pp. 742-753. https://doi.org/10.1016/j.dss.2012.05.024
- Cheng, F., Shen, J., Yu, Y., Li, W., Liu, G., Lee, P. W., and Tang, Y., "In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods," Chemosphere, Vol. 82, No. 11, 2011, pp. 1636-1643. https://doi.org/10.1016/j.chemosphere.2010.11.043
- Christian, H., Agus, M. P., and Suhartono, D., "Single Document Automatic Text Summarization using Term Frequency-Inverse Document Frequency (TFIDF)," ComTech: Computer, Mathematics and Engineering Applications, Vol. 7, No. 4, 2016, pp. 285-294. https://doi.org/10.21512/comtech.v7i4.3746
- Danielsson, P. E., "Euclidean distance mapping," Computer Graphics and image processing, Vol. 14, No. 3, 1980, pp. 227-248. https://doi.org/10.1016/0146-664X(80)90054-4
- Gunasekaran, S., "Computer vision technology for food quality assurance," Trends in Food Science & Technology, Vol. 7, No. 8, 1996, pp. 245-256. https://doi.org/10.1016/0924-2244(96)10028-5
- Kaelbling, L. P., Littman, M. L., and Moore, A. W., "Reinforcement learning: A survey," Journal of artificial intelligence research, Vol. 4, 1996, pp. 237-285. https://doi.org/10.1613/jair.301
- Plutchik, R., A general psychoevolutionary theory of emotion, In Theories of emotion, 1980.
- Qaiser, S., and Ali, R., "Text mining: use of TF-IDF to examine the relevance of words to documents," International Journal of Computer Applications, Vol. 181, No. 1, 2018, pp. 25-29. https://doi.org/10.5120/ijca2018917395
- Salton, G., and Buckley, C., "Term-weighting approaches in automatic text retrieval," Information processing & management, Vol. 24, No. 5, 1988, pp. 513-523. https://doi.org/10.1016/0306-4573(88)90021-0
- Seung, D., and Lee, L., "Algorithms for non-negative matrix factorization," Advances in neural information processing systems, Vol. 13, 2001, pp. 556-562.
- Tata, S., and Patel, J. M., "Estimating the selectivity of tf-idf based cosine similarity predicates," ACM Sigmod Record, Vol. 36, No. 2, 2007, pp. 7-12. https://doi.org/10.1145/1328854.1328855
- Walker, M. A., Anand, P., Abbott, R., Tree, J. E. F., Martell, C., and King, J., "That is your evidence?: Classifying stance in online political debate," Decision Support Systems, Vol. 53, No. 4, 2012, pp. 719-729. https://doi.org/10.1016/j.dss.2012.05.032
- Witten, I. H., Frank, E., Hall, M. A., and Pal, C. J., Data Mining: Practical machine learning tools and techniques, Morgan Kaufmann, 2016.
- Ye, C., Yung, N. H., and Wang, D., "A fuzzy controller with supervised learning assisted reinforcement learning algorithm for obstacle avoidance," IEEE Transactions on Systems, Vol. 33, No. 1, 2003, pp. 17-27.
- Ye, J., "Improved cosine similarity measures of simplified neutrosophic sets for medical diagnoses," Artificial intelligence in medicine, Vol. 63, No. 3, 2015, pp. 171-179. https://doi.org/10.1016/j.artmed.2014.12.007