1,482
Views
0
CrossRef citations to date
0
Altmetric
Research Article

A Sentiment Analysis Framework for Virtual Learning Environment

, &
Pages 520-536 | Received 19 Jan 2019, Accepted 12 Mar 2021, Published online: 19 Apr 2021

References

  • Alencar, M. A. S., and J. F. M. Netto (2011). Improving cooperation in virtual learning environments using multi-agent systems and AIML. In: Proceedings 41th Frontiers in Education Conference (FIE). Rapid City, South Dakota, USA, 1, 1713–19.
  • Araujo, D. A., S. J. Rigo, C. Muller, and R. Chishman. Automatic information extraction from texts with inference and linguistic knowledge acquisition rules. In: 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Atlanta, United States, 2013. v. 3. p. 151–54.
  • Arias, F., J. Moreno, and D. Ovalle Integration model of E-learning based on pedagogical software agents and collaborative learning environments. Proceedings of WCCE 2009. Bento Goncalves, 2009
  • Azevedo, B. T., E. Reategui, and P. A. Behar. 2014. Analysis of the relevance of posts in asynchronous discussions. Interdisciplinary Journal of E-Learning and Learning Objects 10:106–20.
  • Bastos, H. P. P., M. Bercht, and L. K. Wives. Proposal of a model and software for identification of social presence indicators in virtual learning environments. D. G. Sampson, P. Isaias, D. Ifenthaler, and J. Michael Spector, ed.. 201. New York: Springer Science+Business Media. 2013. vol. 1. 159–72.
  • Becker, K., V. P. Moreira, and A. G. L. Santos. 2017. Multilingual emotion classification using supervised learning: Comparative experiments. Inf. Process. Manage 53 (3):684–704. doi:10.1016/j.ipm.2016.12.008.
  • Brzezinski, D., J. Stefanowski, R. Susmaga, and I. Szczech. 2017. Visual-based analysis of classification measures with applications to imbalanced data. arXiv 1704:07122.
  • Cambria, E., S. Poria, D. Hazarika, and K. K. SenticNet. 2018. 5: Discovering conceptual primitives for sentiment analysis by means of context embeddings. AAAI, Pp 1795–1802.
  • De Loach, S. A., and M. Wood. 2001. Developing muiltiagent systems with agenttool. In: Proceedingsof Lecture Notes in Artificial Intelligence. vol. (2001. Berling: Springer–Verlag.
  • Duan, D., W. Qian, S. Pan, L. Shi, and C. Lin: Visa: A visual sentiment analysis system. In: Proceedings of the 5th International Symposium on Visual Information Communication and Interaction, pp. 22–28. Hangzhou, China: ACM (2012)
  • Ekman, P. 2011. A linguagem das emocoes (C. Szlak, Trad.). Sao Paulo: Lua de Papel. (Obra original publicada 2003).
  • Fayyad, U., G. Piatetsky-Shapiro, and P. Smyth. 1996. From data mining to knowledge discovery: An overview. In Advances in knowledge discovery and data mining, 1–34. England: AAAI Press/The MIT Press. Cambridge, Mass.
  • Gibbs, G. 2010. Using Assessment to Support Student Learning. In Leeds Metropolitan University.
  • Kucher, K., C. Paradis, and A. Kerren. 2018. The state of the art in sentiment visualization. Computer Graphics Forum,37, Wiley Online Library, pp. 71-96.
  • Liu, B. 2015. Opinions, sentiment, and emotion in text. Sentiment Analysis: Mining Opinions, Sentiments, and Emotions.p. 381. Cambridge University Press.
  • Liu, J. 1997. The emotional bond between teachers and students. Phi Delta Kappan 79 (2):156–57.
  • Longhi, M. T. Mapeamento de aspectos afetivos em um ambiente virtual de aprendizagem. [PhD thesis]. Porto Alegre: Federal University of Rio Grande do Sul; 2011. 253f.
  • Longhi, M. T., P. A. Behar, and M. Bercht AnimA-K: Recognizing student’s mood during the learning process. In: WCCE2009-9th IFIP World Conference on Computers in Education, Bento Gonçalves, RS, Brazil. July 27-31, 2009.
  • Malheiros, Y., and G. A. P. Lima Uma ferramenta para análise de sentimentos em redes sociais utilizando o senticnet. In: IX Brazilian Symposium on Information Systems, 2013, p. 517–22, Joao Pessoa
  • Moreno, A., and T. Redondo. 2016. Text analytics: The convergence of big data and artificial intelligence. Int. J. Interact. Multimed 3 (6), p. 57–64.
  • Moubaiddin, A., F. Shawarbeh, and N. Obeid. 2013. Using intelligent agents in e-learning. International Information Institute (Tokyo). Information 16 (10):7325–42.
  • Pang, B., and L. Lee. 2008. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2 (1–2):1–135. doi:10.1561/1500000011.
  • Plutchik, P. 2001. A nature of emotions. American Scientis 89 (4):344–50. doi:10.1511/2001.4.344.
  • Reis, R. C. D., S. Isotani, C. L. Rodriguez, K. T. Lyra, P. Jaques, and I. I. Bittencourt. 2018. Affective states in computer-supported collaborative learning: Studying the past to drive the future. Computers & Education 120:29–50. doi:10.1016/j.compedu.2018.01.015.
  • Roorda, D. L., S. Jak, M. Zee, F. J. Oort, and H. M. Y. Koomen. 2017. “Affective Teacher-Student Relationships and Students‘ Engagement and Achievement: A Meta-Analytic Update and Test of the Mediating Role of Engagement.„ School Psychology Review 46: 239–261. doi:10.17105/SPR-2017-0035.V46-3
  • Russell, S., and P. Norvig. 2010. Artificial intelligence: A modern approach. 3rd. Prentice-Hall, Upper Saddle River. chapter 12.
  • Shaikh, M. A. M., H. Prendinger, and M. Ishizuka. 2008. Sentiment assessment of text by analyzing linguistic features and contextual valence assignment. Applied Artificial Intelligence 22 (6):558–601. doi:10.1080/08839510802226801.
  • Tervakari, S., K. Kirsi, P. Juho, and O. Jukka (2014). Usefulness of information visualizations based on educational data. In: IEEE Global Engineering Education Conference, EDUCON, Turkey
  • Tumitan, D., and K. Becker Tracking sentiment evolution on user-generated content: A case study on the Brazilian political scene. In: Brazilian Symposium on Databases, 2013, p. 135–44, Recife.
  • Younis, E. M. G., and S. Analysis. 2015. Text mining for social media microblogs using open source tools: An empirical study. International Journal of Computer Applications (0975 – 8887) 112 (5), p. 44–48.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.