Contextual BI-Directional Attention Flow With Embeddings From Language Models: A Generative Approach to Emotion Detection
Author:
Affiliation:
1. Maulana Azad National Institue of Technology (MANIT) Bhopal, India
2. Maulana Azad National Institute of Technology (MANIT) Bhopal, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3478586.3478629
Reference34 articles.
1. Joint Learning for Emotion Classification and Emotion Cause Detection
2. Denise Bandeira daSilva André Schmidt Diogo Cristiano Rodrigo Rosa Righi and Björn Eskofier. [n.d.]. DeepSigns: A Predictive Model Based on Deep Learning for the Early Detection of Patient Health Deterioration. 165 ([n. d.]) 113905. https://doi.org/10.1016/j.eswa.2020.113905 Denise Bandeira daSilva André Schmidt Diogo Cristiano Rodrigo Rosa Righi and Björn Eskofier. [n.d.]. DeepSigns: A Predictive Model Based on Deep Learning for the Early Detection of Patient Health Deterioration. 165 ([n. d.]) 113905. https://doi.org/10.1016/j.eswa.2020.113905
3. Maryam Hasan Elke Rundensteiner Xiangnan Kong and Emmanuel Agu. [n.d.]. Discover Trends in Public Emotion Using Social Sensing. ([n. d.]) 1–5. Issue Spring. https://doi.org/10.1145/3065953.3065955 Maryam Hasan Elke Rundensteiner Xiangnan Kong and Emmanuel Agu. [n.d.]. Discover Trends in Public Emotion Using Social Sensing. ([n. d.]) 1–5. Issue Spring. https://doi.org/10.1145/3065953.3065955
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1. Emotional Intelligence Through Artificial Intelligence: NLP and Deep Learning in the Analysis of Healthcare Texts;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29
2. Text-based emotion recognition using contextual phrase embedding model;Multimedia Tools and Applications;2023-03-16
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