Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Linguistics and Language,Language and Linguistics
Link
https://link.springer.com/content/pdf/10.1007/s10462-023-10606-0.pdf
Reference154 articles.
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2. Abdukhamidov E, Juraev F, Abuhamad M, El-Sappagh S, Abuhmed T (2022) Sentiment analysis of reactions on social media during the pandemic. Electronics 11:1648. https://doi.org/10.3390/ELECTRONICS11101648
3. Acheampong FA, Wenyu C, Nunoo-Mensah H (2020) Text-based emotion detection: advances, challenges, and opportunities. Eng Rep 2:e12189. https://doi.org/10.1002/ENG2.12189
4. Agrawal A, An A (2012) Unsupervised emotion detection from text using semantic and syntactic relations. In: Proceedings-2012 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2012 2012:346–53. https://doi.org/10.1109/WI-IAT.2012.170
5. Ahmed N, Al AZ, Girija S (2023) A systematic survey on multimodal emotion recognition using learning algorithms. Intel Syst Appl 17:200171. https://doi.org/10.1016/J.ISWA.2022.200171
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