Learning Sentiment from Students’ Feedback for Real-Time Interventions in Classrooms

Author:

Altrabsheh Nabeela,Cocea Mihaela,Fallahkhair Sanaz

Publisher

Springer International Publishing

Reference29 articles.

1. Agarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.: Sentiment analysis of twitter data. In: Proceedings of the Workshop on Languages in Social Media, pp. 30–38. Association for Computational Linguistics, Stroudsburg (2011)

2. Altrabsheh, N., Gaber, M., Cocea, M.: SA-E: Sentiment Analysis for Education. In: International Conference on Intelligent Decision Technologies, vol. 255, pp. 353–362 (2013)

3. Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. In: International Conference on Computational Linguistics, vol. 23, pp. 36–44 (2010)

4. Bhargavi, P., Jyothi, S.: Applying naive bayes data mining technique for classification of agricultural land soils. International Journal of Computer Science and Network Security 9(8), 117–122 (2009)

5. Calders, T., Pechenizkiy, M.: Introduction to the special section on educational data mining. SIGKDD Explorations 13(2), 3–6 (2012)

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