Robotics & Machine Learning Daily News2024,Issue(Nov.28) :179-179.

Study Results from University of Thessaly Broaden Understanding of Machine Learn ing (Sentiment Analysis of Student Feedback: a Comparative Study Employing Lexic on and Machine Learning Techniques)

塞萨利大学的研究成果拓宽了认识机器学习(学生反馈的情感分析。词汇学习与机器学习的比较研究技术

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :179-179.

Study Results from University of Thessaly Broaden Understanding of Machine Learn ing (Sentiment Analysis of Student Feedback: a Comparative Study Employing Lexic on and Machine Learning Techniques)

塞萨利大学的研究成果拓宽了认识机器学习(学生反馈的情感分析。词汇学习与机器学习的比较研究技术

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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-调查人员发布马学习的新报告。根据新闻报道在希腊的拉里萨,由《新闻日报》记者所作的研究表明:“这是世界上最紧迫的问题之一。”当代科学研究大数据与人工智能方法的集成提高教育学习效果。为此目的,有必要利用来自学生反馈的非结构化数据,特别是以开放式评论的形式旨在提取其信息中传达的情绪和意见的问题。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingfrom Larisa, Greece, by NewsRx journ alists, research stated, “One of the most pressing concerns incontemporary educ ation examines the integration of big data and artificial intelligence methodolo giesto enhance the educational learning outcome. Towards that purpose, it is im perative to leverage theunstructured data originating from student feedback, pa rticularly in the form of comments to open-endedquestions aiming to extract emo tions and opinions conveyed within their messages.”

Key words

Larisa/Greece/Europe/Cyborgs/Emergin g Technologies/Machine Learning/University of Thessaly

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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