Document-Level Sentiment Analysis of Course Review Based on BG-Caps

Author:

Wu Jing,Liu Tianyi,Hu Wei

Publisher

Springer Nature Singapore

Reference21 articles.

1. An, Y.-H., Pan, L., Kan, M.-Y., Dong, Q., Yan, F.: Resource mention extraction for MOOC discussion forums. IEEE Access 7, 87887–87900 (2019). https://doi.org/10.1109/ACCESS.2019.2924250

2. Li, Q., Liu, N.: MOOC quality assurance system research. Open Educ. Res. 21(05), 66–73 (2015)

3. Elena Alonso-Mencía, M., Alario-Hoyos, C., Estévez-Ayres, I., Kloos, C.D.: Analysing self-regulated learning strategies of MOOC learners through self-reported data. Australas. J. Educ. Technol., 56–70 (2021). https://doi.org/10.14742/ajet.6150

4. Zhou, Z.: Chinese short comment sentiment classification based on sentiment dictionary and supervised learning. J. Zhangzhou Normal Univ. (Nat. Sci. Ed.) 4, 23–28 (2013)

5. Jing, L., Li, M., He, T.: Sentiment classification of online reviews combining extended dictionary and self-supervised learning. Comput. Sci. 47 (2), 78–82 (2020)

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