EMOTION RECOGNITION IN LEARNERS WITH EMOJI SENTIMENT ACCOMPANIMENT USING THE PHOBERT MODEL

Chỉ số đề mục

Lĩnh vực nghiên cứu

Khoa học tự nhiên

Dạng tài liệu

BB

Tác giả

Tran Thi Dung, Le Nhat Tung, Bui Ngoc Dung, Vu Huan, VŨ HUẤN⁽¹⁾

Nhan đề

EMOTION RECOGNITION IN LEARNERS WITH EMOJI SENTIMENT ACCOMPANIMENT USING THE PHOBERT MODEL

Nhan đề tiếng anh

EMOTION RECOGNITION IN LEARNERS WITH EMOJI SENTIMENT ACCOMPANIMENT USING THE PHOBERT MODEL

Nguồn trích

Tạp chí Khoa học - Trường Đại học Sư phạm Hà Nội: Khoa học Tự nhiên

Năm xuất bản

2024

Số

69

Trang

46

ISSN

Từ khóa

Từ khóa tiếng anh

Tóm tắt

This paper proposes an advanced method for recognizing learners'emotions by incorporating the use of emojis to reflect the modern communicationtendencies of learners, typically young individuals. The method is built on thePhoBERT model, a variant of BERT optimized for Vietnamese. Data was collectedfrom opinion surveys of learners at the Ho Chi Minh City campus of the Universityof Transport and Communications to train and test the model. The system is designedto analyze text and recognize seven basic emotions: enjoyment, trust, hope, sadness,surprise, fear, and others. Corresponding emojis are then assigned to each emotiontype to more clearly illustrate the learners' emotional states. Experimental resultsshow that combining PhoBERT and emojis not only enhances the accuracy ofemotion recognition but also makes communication more intuitive and vivid. Themodel achieved an accuracy of 74.1%. The paper also discusses practicalapplications of this system in the field of education, where teachers can quickly andaccurately understand and respond to students' emotions, thereby improving teachingeffectiveness

Tóm tắt tiếng anh

This paper proposes an advanced method for recognizing learners'emotions by incorporating the use of emojis to reflect the modern communicationtendencies of learners, typically young individuals. The method is built on thePhoBERT model, a variant of BERT optimized for Vietnamese. Data was collectedfrom opinion surveys of learners at the Ho Chi Minh City campus of the Universityof Transport and Communications to train and test the model. The system is designedto analyze text and recognize seven basic emotions: enjoyment, trust, hope, sadness,surprise, fear, and others. Corresponding emojis are then assigned to each emotiontype to more clearly illustrate the learners' emotional states. Experimental resultsshow that combining PhoBERT and emojis not only enhances the accuracy ofemotion recognition but also makes communication more intuitive and vivid. Themodel achieved an accuracy of 74.1%. The paper also discusses practicalapplications of this system in the field of education, where teachers can quickly andaccurately understand and respond to students' emotions, thereby improving teachingeffectiveness

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