Multi-granularity sentiment analysis and learning outcome prediction for Chinese educational texts based on transformer architecture

Multi-granularity sentiment analysis and learning outcome prediction for Chinese educational texts based on transformer architecture

Abstract With the increasing adoption of intelligent tutoring systems, accurately interpreting students’ emotional states in educational contexts is crucial for providing personalized learning support. In computer science, natural language processing (NLP) techniques offer promising solutions for se...

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Bibliographic Details
Main Authors: Xinyue Gao, Quanrong Fang
Format: Article
Language:English
Published: Springer 2025-08-01
Series:Discover Artificial Intelligence
Subjects:
Transformer
Sentiment analysis
Chinese educational texts
Learning outcome prediction
Adaptive learning
Online Access:https://doi.org/10.1007/s44163-025-00459-7
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https://doi.org/10.1007/s44163-025-00459-7

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