Sentiment Analysis of Course Evaluation Data Based on SVM Model

Zhao, Junyan; Yang, Xubiao; Qiao, Qiao; Chen, Liqiong

doi:10.1109/pic50277.2020.9350812

Cited by 1 publication

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…e article first proposes a set of curriculum index system, that is, a new index system for evaluating online courses based on course content [16]. First, three algorithms are used to extract the features of the index: the improved FastText algorithm is used to classify the course introduction text, and three features related to the difficulty of the course are extracted; that is, the SVM algorithm is used to analyze the course-related sentiment and extract the relevant field features of the course evaluation; Jaccard similarity is applied to fine-grained clustering of similar courses to calculate the knowledge point coverage of each course [17,18].…”

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Continuing Education Online Training System Based on Artificial Intelligence Algorithm

Zheng

2022

Mobile Information Systems

View full text Add to dashboard Cite

With the continuous development and maturity of artificial intelligence algorithms, there are more cross-concepts in continuing education, so continuing education has begun to develop on the Internet. The continuing education online training system realizes nonreal-time teaching methods, breaks the limitations of time and space, solves the conflict between continuing education engineering and learning, and promotes the sharing of high-quality teaching resources. However, the current continuing education online training system has many defects and imperfections. For example, many continuing education colleges only consider building resources and teaching forms to design online learning systems, and these high-quality resources and teaching forms are difficult to be effectively utilized. Based on this background, this paper establishes a continuing education online training system combined with artificial intelligence algorithms, which is divided into course management, question bank management, learning management, homework management, question-and-answer management, online learning process monitoring management, basic data management, system management, etc. Then, by matching the relevance of the above courses, individual courses are recommended for students to complete the continuing online training education. The system has been highly appraised by the majority of students. The user said that the system can effectively solve practical problems, which is known for the effectiveness of the system design in this paper, thus providing reasonable help for improving the teaching quality. In this paper, we deeply study artificial intelligence algorithms and apply them to the field of continuing education to design a new type of online education system.

show abstract

Section: Related Workmentioning

confidence: 99%

Design and Implementation of Continuing Education Online Training System Based on Artificial Intelligence Algorithm

Zheng

2022

Mobile Information Systems

View full text Add to dashboard Cite

show abstract

Sentiment Analysis of Course Evaluation Data Based on SVM Model

Cited by 1 publication

References 12 publications

Design and Implementation of Continuing Education Online Training System Based on Artificial Intelligence Algorithm

Design and Implementation of Continuing Education Online Training System Based on Artificial Intelligence Algorithm

Contact Info

Product

Resources

About