Affect-GCN: a multimodal graph convolutional network for multi-emotion with intensity recognition and sentiment analysis in dialogues

Author:

Firdaus MauajamaORCID,Singh Gopendra Vikram,Ekbal Asif,Bhattacharyya Pushpak

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference65 articles.

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3. Akhtar MS, Chauhan D, Ekbal A (2020) A deep multi-task contextual attention framework for multi-modal affect analysis. ACM Trans Knowl Discov Data (TKDD) 14(3):1–27

4. Akhtar MS, Chauhan D, Ghosal D, Poria S, Ekbal A, Bhattacharyya P (2019) Multi-task learning for multi-modal emotion recognition and sentiment analysis. In: Proceedings of the 2019 conference of the north american chapter of the association for computational linguistics: human language technologies, NAACL-HLT 2019, minneapolis, MN, USA, June 2-7, 2019, volume 1 (Long and Short Papers), pp 370–379

5. Asri LE, Schulz H, Sharma S, Zumer J, Harris J, Fine E, Suleman K (2017) Frames: a corpus for adding memory to goal-oriented dialogue systems.. In: Proceedings of the 18th Annual SIGdial meeting on discourse and dialogue

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