Robotics & Machine Learning Daily News2024,Issue(Nov.29) :134-134.

Guizhou Normal University Researchers Further Understanding of Intelligent Syste ms (LCANet: a model for analysis of students real-time sentiment by integrating attention mechanism and joint loss function)

贵州师范大学研究人员对智能系统的进一步认识(LCANet:结合注意机制和联合损失函数的学生实时情感分析模型)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :134-134.

Guizhou Normal University Researchers Further Understanding of Intelligent Syste ms (LCANet: a model for analysis of students real-time sentiment by integrating attention mechanism and joint loss function)

贵州师范大学研究人员对智能系统的进一步认识(LCANet:结合注意机制和联合损失函数的学生实时情感分析模型)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于智能系统的最新研究结果已经发表。据新闻报道NewsRx编辑对贵州师范大学的报道称,“通过承认学生的在实际课堂情境中,学生的情绪状态可以很快被发现,它可以帮助教师掌握学生的学习速度,从而允许教师调整自己的教学策略和方法,从而提高课堂教学的质量和有效性。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on intelligent s ystems have been published. According to newsreporting out of Guizhou Normal Un iversity by NewsRx editors, research stated, “By recognizing students’facial ex pressions in actual classroom situations, the students’ emotional states can be quickly uncovered,which can help teachers grasp the students’ learning rate, wh ich allows teachers to adjust their teachingstrategies and methods, thus improv ing the quality and effectiveness of classroom teaching.”

Key words

Guizhou Normal University/Intelligent S ystems/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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