Multi-task Chinese aspect-based sentiment analysis framework for service improvement: a case study on BNB reviews
Author:
Funder
National Science and Technology Council
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10660-024-09871-0.pdf
Reference37 articles.
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2. Akhtar, M. S., Garg, T., & Ekbal, A. (2020). Multi-task learning for aspect term extraction and aspect sentiment classification. Neurocomputing, 398, 247–256.
3. Alaei, A. R., Becken, S., & Stantic, B. (2019). Sentiment analysis in tourism: Capitalizing on big data. Journal of Travel Research, 58(2), 175–191.
4. Bi, J.-W., Liu, Y., Fan, Z.-P., & Cambria, E. (2019). Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model. International Journal of Production Research, 57(22), 7068–7088.
5. Chang, Y.-C., Ku, C.-H., & Le Nguyen, D.-D. (2022). Predicting aspect-based sentiment using deep learning and information visualization: The impact of COVID-19 on the airline industry. Information & Management, 59(2), 103587.
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