Students’ emotional analysis on ideological and political teaching classes based on artificial intelligence and data mining

2020 ◽  
pp. 1-9
Author(s):  
Hou Yuzhong
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Analysis Model ◽  
Emotion Analysis ◽  
Artificial Intelligence Technology ◽  
The Individual ◽  
Study Designs ◽  
External Stimuli ◽  
Transfer Probability ◽  
Learning Data

Ideological and political teaching emotion is an important reflection of students’ learning achievements. At present, the effect of emotion analysis of ideological and political students is poor. This article builds on the artificial intelligence technology and combines machine learning data mining ideas to construct a student emotion analysis model in the ideological and political classroom. Starting from the individual, based on the individual’s own emotions and external stimuli, this article carries out emotion transfer probability statistics on the dialogues with emotions marked, and obtains the individual’s emotion transfer matrix. After the corresponding model is constructed, it can be applied to practice, and the research is conducted from the aspects of systematic emotion analysis effect and teaching promotion effect. In addition, this study designs a controlled experiment to analyze the effects of the model. The research results show that the model constructed in this paper has good performance.

scholarly journals A Novel Paradigm to Design Personalized Derived Images of Art Paintings Using an Intelligent Emotional Analysis Model

2021 ◽  
Vol 12 ◽  
Author(s):  
Yingjing Duan ◽  
Jie Zhang ◽  
Xiaoqing Gu
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
New Technology ◽  
New Method ◽  
Facial Emotion ◽  
Design System ◽  
Analysis Model ◽  
Emotion Analysis ◽  
New Ideas ◽  
User Demand

With the development of artificial intelligence (AI), it is imperative to combine design methods with new technologies. From the perspective of the personalized design of derived images of art paintings, this study analyzes the new user demand generated by the current situation and background of personalized design, puts forward a new method of derivative design based on AI emotion analysis, verifies the feasibility of the new method by constructing a personalized design system of derived images of art paintings driven by facial emotion features, and explores the method of combining AI emotion recognition, emotion analysis, and personalized design. This study provides new ideas for the design of art derivatives for the future with massive personalized demand. Thinking and practicing from the perspective of the development of new technology will promote the change of design paradigms in the digital age.

scholarly journals Data Mining, Machine Learning, Deep Learning, Chemometrics. Definitions, common points and Trends (Spoiler Alert: VALIDATE your models!)

2021 ◽  
Vol 8 (32) ◽  
pp. 22-38
Author(s):  
José Manuel Amigo
Keyword(s):  
Analytical Chemistry ◽  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Deep Learning ◽  
Daily Life ◽  
Big Data Analysis ◽  
Mining Machine ◽  
Learning Data ◽  
Made In

Concepts like Machine Learning, Data Mining or Artificial Intelligence have become part of our daily life. This is mostly due to the incredible advances made in computation (hardware and software), the increasing capabilities of generating and storing all types of data and, especially, the benefits (societal and economical) that generate the analysis of such data. Simultaneously, Chemometrics has played an important role since the late 1970s, analyzing data within natural science (and especially in Analytical Chemistry). Even with the strong parallelisms between all of the abovementioned terms and being popular with most of us, it is still difficult to clearly define or differentiate the meaning of Machine Learning, Data Mining, Artificial Intelligence, Deep Learning and Chemometrics. This manuscript brings some light to the definitions of Machine Learning, Data Mining, Artificial Intelligence and Big Data Analysis, defines their application ranges and seeks an application space within the field of analytical chemistry (a.k.a. Chemometrics). The manuscript is full of personal, sometimes probably subjective, opinions and statements. Therefore, all opinions here are open for constructive discussion with the only purpose of Learning (like the Machines do nowadays).

Research of ISIC-CDIO Question Answer System for Materials Teaching Based on Android

2012 ◽  
Vol 214 ◽  
pp. 596-600
Author(s):  
Hui Yan ◽  
Hai Yan Hu
Keyword(s):  
Artificial Intelligence ◽  
Wireless Network ◽  
Pattern Matching ◽  
Question Answering ◽  
Mobile Wireless ◽  
Question Answering System ◽  
Cultivation Mode ◽  
Similarity Algorithm ◽  
Artificial Intelligence Technology ◽  
The Individual

This essay innovatively proposes the education mode of ISIC-CDIO and introduces the Android mobile platform to teaching procedures by utilizing the existing mobile wireless network and artificial intelligence technology. It also realizes the question-answering system for teaching under the cultivation mode of ISIC-CDIO, focusing on two similarity algorithm- stereotyped matching and no pattern matching studying. The improvement of algorithm has increased the efficiency of successful matching of problems, which will promote the individual learning of students and thus will cultivate the comprehensive talents with ISIC-CDIO quality.

scholarly journals THE USE OF ARTIFICIAL INTELLIGENCE FOR ARABIC LEARNING

2021 ◽  
Author(s):  
Lesia Viktorova ◽  
◽  
Kostiantyn Mamchur ◽  
Keyword(s):  
Artificial Intelligence ◽  
Higher Education ◽  
Foreign Language ◽  
Main Tool ◽  
Educational Process ◽  
Educational Trajectories ◽  
User Data ◽  
Artificial Intelligence Technology ◽  
The Creation ◽  
The Individual

In the study the features of artificial intelligence use, the main advantages and disadvantages of this technology are analyzed; the aspects of such a pedagogical process in learning Arabic are substantiated, the results of research and scientific advances in cyberlinguistics are summarized. The relevance of the use of artificial intelligence technologies and chatterbots in the study of Arabic in higher education is highlighted. The current state of introduction of artificial intelligence technologies in the educational process of students of higher education institutions is analyzed. Examples of the use of artificial intelligence technologies in the study of Arabic are given. Categories of computer programs with the use of artificial intelligence technology for learning a foreign language are singled out and described. The advantages and debatable issues related to access to user data during the use of artificial intelligence technologies in the educational process are identified. The expediency of using chatterbots with a linear structure is substantiated. Scenarios for the use of chatterbots in the educational process during the study of a foreign language are identified: search script and content generation script. The tasks of a linear chatterbot for learning a foreign language are presented and described. The educational trajectories which will allow reaching the set purposes in training with use of chatterbots are allocated. Mandatory methodological and content elements during the creation of a linear chatterbot are highlighted. The practical scenario of creating an author's chatterbot for learning a foreign language on the sendpulse.ua platform with its further use in Telegram is given. When creating a chatterbot, it was found that the chain constructor is the main tool for setting up a chatterbot. The practical advantages of using a linear chatterbot when learning a foreign language are presented. The study identified a promising direction for the creation of several linear chatterbots (without the use of artificial intelligence), which can be involved simultaneously at different stages of the development of the individual trajectory of education. Multiple chatterbots that provide different answers and ask different questions can significantly improve a learner's communication and other skills.

An Interview with Dr. Michael Zeller, Winner of ACM SIGKDD 2020 Service Award

2021 ◽  
Vol 22 (2) ◽  
pp. 6-7
Author(s):  
Michael Zeller
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Knowledge Discovery ◽  
Data Science ◽  
Professional Services ◽  
Investment Company ◽  
Service Award ◽  
Virtual Conference ◽  
Learning Data

Michael Zeller, Ph.D. is the recipient of the 2020 ACM SIGKDD Service Award, which is the highest service award in the field of knowledge discovery and data mining. Conferred annually on one individual or group in recognition of outstanding professional services and contributions to the field of knowledge discovery and data mining, Dr. Zeller was honored for his years of service and many accomplishments as the secretary and treasurer for ACM SIGKDD, the organizing body of the annual KDD conference. Zeller is also head of AI strategy and solutions at Temasek, a global investment company seeking to make a difference always with tomorrow in mind. He sat down with SIGKDD Explorations to discuss how he first got involved in the KDD conference in 1999, what he learned from the first-ever virtual conference, his work at Temasek, and what excites him about the future of machine learning, data science and artificial intelligence.

Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology

2020 ◽  
pp. 1-12
Author(s):  
Huang Xiaoyang ◽  
Zhao Junzhi ◽  
Fu Jingyuan ◽  
Zhang Xiuxia
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Education Reform ◽  
Dimensional Space ◽  
Team Building ◽  
Reference Value ◽  
Colleges And Universities ◽  
Ideological And Political Education ◽  
Political Education ◽  
Artificial Intelligence Technology

Relying on the reform of the learning field curriculum system of ideological and political education courses in colleges and universities, the association rules between data mining and artificial intelligence technology are used to mine the association relationship between the software professional courses of the computer department, and the ideas and methods of optimizing the course setting are proposed. Discuss the reference value of the whole environment, multi-dimensional space-time, inter-subjectivity theory to the model construction from the theoretical level and the guiding significance of the Internet governance thought to the reform of ideological and political education in universities and colleges The survey results analyze the problems existing in the reform and construction of ideological and political education in colleges and universities, and propose improvements and optimization measures and the four systems of “systematic design outlined in the outline, teamwork coordination of team building, network expansion of environmental construction, and dual promotion of quality assurance". The countermeasures to improve the effectiveness of the ideological and political education in universities, experience summarization, theoretical analysis and empirical research, the idea of constructing a “three-stage full environment” network ideological and political education model for colleges and universities is proposed. Through in-depth understanding and analysis of the relevant knowledge of data mining artificial intelligence technology, the relevant methods of data mining artificial intelligence technology are used to solve the timeliness problems of ideological and political education reform in colleges and universities, so that relevant managers can timely learn relevant information in complex issues to provide solutions for further decision-making.

scholarly journals Digital Transformation in the Concept of Internal Banking Risk Management

2020 ◽  
pp. 45-50
Author(s):  
D. V. Pasinitsky
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Mining ◽  
Risk Management ◽  
Digital Technologies ◽  
Digital Transformation ◽  
Targeted Analysis ◽  
Banking Risk ◽  
Learning Data

The article is devoted to a targeted analysis of promising displacements in the guiding ideas of managing internal banking risks. Based on the study, the author proposes to intensify the introduction of digital technologies in banking practice based on: artificial intelligence, machine learning, data mining.

scholarly journals Evaluation Model of Power Operation and Maintenance Based on Text Emotion Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Wei Wan ◽  
Yuanlong Liu ◽  
Xingwang Han ◽  
Huijian Wang
Keyword(s):  
Data Mining ◽  
Evaluation Model ◽  
Cosine Similarity ◽  
Supplier Evaluation ◽  
Power Equipment ◽  
Analysis Model ◽  
Emotion Analysis ◽  
Semantic Richness ◽  
Operation And Maintenance ◽  
Power Operation

The application of data mining technology in power field mainly focuses on the application of power defect text and dispatching text. However, the power operation and maintenance data contains a lot of information about power equipment suppliers. Taking the operation and maintenance text involving power equipment suppliers as an example, this paper summarizes the theme of operation and maintenance text and studies the evaluation model of power equipment suppliers. The next sentence prediction analysis model of single round dialogue text based on transformer bidirectional encoder prediction and cosine similarity weighting is proposed, which can effectively divide the topic of dialogue text. Aiming at the semantic richness and complexity of power operation and maintenance text, a supplier evaluation model based on text emotion analysis is proposed. Based on the expansion of the entries and attributes of the existing power ontology dictionary, the dialogue emotion analysis rules are established to realize the normal evaluation of power equipment suppliers.

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