Text-based emotion recognition using contextual phrase embedding 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/s11042-023-14524-9.pdf
Reference81 articles.
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2. Alshaabi T, Van Oort CM, Fudolig MI, Arnold MV, Danforth CM, Dodds PS (2022) Augmenting semantic lexicons using word embeddings and transfer learning. Front Artif Intell 4:783778. https://doi.org/10.3389/frai.2021.783778
3. Araque O, Gatti L, Staiano J, Guerini M (2019) Depechemood++: a bilingual emotion lexicon built through simple yet powerful techniques. IEEE Trans Affect Comput:1–1. https://doi.org/10.1109/TAFFC.2019.2934444
4. Baker CF, Fillmore CJ, Lowe JB (1998) The berkeley framenet project. In: 36th Annual meeting of the association for computational linguistics and 17th international conference on computational linguistics. Association for computational linguistics, vol 1, pp 86–90. https://doi.org/10.3115/980845.980860
5. Batbaatar E, Li M, Ryu KH (2019) Semantic-Emotion Neural network for emotion recognition from text. IEEE Access 7:111866–111878. https://doi.org/10.1109/ACCESS.2019.2934529
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