Comparative Analyses of Bert, Roberta, Distilbert, and Xlnet for Text-Based Emotion Recognition-Reference-Cited by-同舟云学术

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Comparative Analyses of Bert, Roberta, Distilbert, and Xlnet for Text-Based Emotion Recognition

Published:2020-12-18 Issue: Volume: Page:
ISSN:
Container-title:2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP)
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Author:

Adoma Acheampong Francisca¹,Henry Nunoo-Mensah²,Chen Wenyu¹

Affiliation:

1. Computational Intelligence Lab, School of Computer Science and Technology, University of Electronic Science and Technology of China,Chengdu,China

2. Connected Devices Lab, Kwame Nkrumah University of Science and Technology,Department of Computer Engineering,Kumasi,Ghana

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9317007/9317311/09317379.pdf?arnumber=9317379

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2. REDAffectiveLM: leveraging affect enriched embedding and transformer-based neural language model for readers’ emotion detection;Knowledge and Information Systems;2024-08-19

3. A new multimodal sentiment analysis for images containing textual information;Multimedia Tools and Applications;2024-08-15

4. Exploring transformer models for sentiment classification: A comparison of BERT, RoBERTa, ALBERT, DistilBERT, and XLNet;Expert Systems;2024-08-14

5. Multimodal Emotion Cognition Method Based on Multi-Channel Graphic Interaction;International Journal of Cognitive Informatics and Natural Intelligence;2024-08-09

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