Aspect-based sentiment analysis of drug reviews using multi-task learning based dual BiLSTM model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16360-3.pdf
Reference44 articles.
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2. Alsayat A (2022) Improving sentiment analysis for social media applications using an ensemble deep learning language model. Arab J Sci Eng 47(2):2499–2511. https://doi.org/10.1007/s13369-021-06227-w
3. Basiri ME, Abdar M, Cifci MA, Nemati S, Acharya UR (2020) A novel method for sentiment classification of drug reviews using fusion of deep and machine learning techniques. Knowl-Based Syst 198:105949. https://doi.org/10.1016/j.knosys.2020.105949
4. Bayraktar K, Yavanoglu U, Ozbilen A (2019) A rule-based holistic approach for Turkish aspect-based sentiment analysis. In: 2019 IEEE International Conference on Big Data (Big Data) pp 2154–2158. https://doi.org/10.1109/BigData47090.2019.9005473
5. Bensoltane R, Zaki T (2022) Towards Arabic aspect-based sentiment analysis: A transfer learning-based approach. Soc Netw Anal Min 2:1–6. https://doi.org/10.1007/s13278-021-00794-4
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