A supervised contrastive learning-based model for image emotion classification
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11280-024-01260-9.pdf
Reference56 articles.
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4. Poria, S., Gelbukh, A., Hussain, A., Howard, N., Das, D., Bandyopadhyay, S.: Enhanced SenticNet with affective labels for concept-based opinion mining. IEEE Intell. Syst. 28(2), 31–38 (2013)
5. Mäntylä, M.V., Graziotin, D., Kuutila, M.: The evolution of sentiment analysis-a review of research topics, venues, and top cited papers. Comput. Sci. Rev. 27, 16–32 (2018)
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