Semantic fusion of facial expressions and textual opinions from different datasets for learning-centered emotion recognition

Author:

Cárdenas-López Héctor Manuel,Zatarain-Cabada RamónORCID,Barrón-Estrada María Lucía,Mitre-Hernández Hugo

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference23 articles.

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2. Chatterjee A, Gupta U, Chinnakotla MK, Srikanth R, Galley M, Agrawal P (2019) Understanding emotions in text using deep learning and big data. Comput Hum Behav 93:309–317

3. Chen F, Luo Z (2019) Sentiment analysis using deep robust complementary fusion of multi-features and multi-modalities. CoRR, arXiv:1904.08138

4. Crangle CE, Wang R, Guimaraes MP, Nguyen MU, Nguyen DT, Suppes P (2019) Machine learning for the recognition of emotion in the speech of couples in psychotherapy using the stanford suppes brain lab psychotherapy dataset. CoRR, arXiv:1901.04110

5. D’Mello S, Graesser A (2012) Dynamics of affective states during complex learning. Learn Instr 22(2):145–157

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