Mining emotion-aware sequential rules at user-level from micro-blogs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10844-021-00647-8.pdf
Reference39 articles.
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3. Berka, P. (2020). Sentiment analysis using rule-based and case-based reasoning. Journal of Intelligent Information System, 55(1), 51–66.
4. Bing, L., Chan, K. C. C., & Ou, C. X. (2014). Public sentiment analysis in twitter data for prediction of a company’s stock price movements. In 11th IEEE International Conference on e-Business Engineering, ICEBE 2014 (pp. 232–239). Guangzhou.
5. Ceci, M., Appice, A., Loglisci, C., Caruso, C., Fumarola, F., & Malerba, D. (2009). Novelty detection from evolving complex data streams with time windows. In Rauch, J., Ras, Z. W., Berka, P., & Elomaa, T. (Eds.) Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague. Proceedings, Lecture Notes in Computer Science, (Vol. 5722 pp. 563–572): Springer.
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