首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
LarisaGreeceEuropeCyborgsEmergin g TechnologiesMachine LearningUniversity of Thessaly
NETL
NSTL
