Big-BOE: Fusing Spanish Official Gazette with Big Data Technology

Val, Pablo Basanta; Sánchez-Fernandez, Luis

doi:10.1089/big.2018.0007

Cited by 9 publications

(6 citation statements)

References 42 publications

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“…World outlook and political education are texts of lifelong learning in Chinese literature. It uses the concept of specific ideology or political views and moral standards in a social group or society to influence members in a planned and organized way for a specific society [10]. ought and politics teachings are extremely importance and hard to provide, especially in the market e ideological and political activities in China are relatively weak and not suitable for the development of modern society [6].…”

Section: Ideological and Political Educationmentioning

confidence: 99%

A Big Data Integration Platform for Ideological and Political Education for Smart Campuses

Gao

et al. 2022

Security and Communication Networks

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The advent of large data and the era of large data has brought significant impact and changes to human production and life. Through the acquisition, analysis, processing, prediction, and dissemination of big data in scientific research, large data has emerged as the source of advanced technological to generate global quantitative data. It not only reveals the gaps and deficiencies of traditional approaches to ideological and mechanical studies methods in obtaining ideological behavior but also information about academic subjects providing support for optimizing and innovative technology and ideological transformation and then conducting intellectual and practical research in colleges and universities. In the age of large digital data, the ideology and politics of education are facing modern domestic and foreign situations, as well as new characteristics and new needs for ideology and politics study. This makes ideology and politics research methods even more important, which is seen as an opportunity for continuous creation and innovation and also adapts to the requirements of the times and reality. Smart campus refers to an intelligent integrated environment for campus work, study, and life based on the Internet of Things. This integrated environment takes various application service systems as the carrier and fully integrates teaching, scientific research, management, and campus life. From the large-scale data era, the educational theory of whether colleges and universities’ ideological and political research is rich or not supports more scientific theories to carry out psychological and mechanical research. It is evident that in the age of large data, the ideological and political research in colleges and institutes is not only a theoretical issue but also an important practical issue. Therefore, conducting ideological and political research in colleges and institutes in the age of large data has profound theoretical significance and great practical significance.

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Section: Ideological and Political Educationmentioning

confidence: 99%

A Big Data Integration Platform for Ideological and Political Education for Smart Campuses

Gao

et al. 2022

Security and Communication Networks

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“…Overview of Big Data Text Mining Techniques. Big data text mining technology is a crucial technology for knowledge analysis and extraction of massive text data, which performs text data mining with the help of mature big data analysis tools [11]. New knowledge can be extracted, and basic patterns and correlations hidden in the data can be identified [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Construction of a Legal System of Corporate Social Responsibility Based on Big Data Analysis Technology

Pei

2022

Journal of Environmental and Public Health

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The company is an essential organization in modern society, and the company has transformed from a purely economic organization to a corporate citizen that realizes economic responsibility and practices social responsibility at the same time. It is only by constructing a legal system of corporate social responsibility that companies can take social responsibility on the track of the legal system, realize the company’s mission of the times, and achieve a win-win situation for both the company and society. This paper used the LDA and text clustering methods to analyze existing legal texts. It obtained the theme and text clustering results, thus proposing five aspects of the legal system construction framework to guide the corporate social responsibility legal system, which has pioneering significance.

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“…e training process of artificial neural network is a complex autonomous learning process [17]. e forward propagation process and the back propagation process constitute the training process of the artificial neural network [18]. e forward propagation process is to calculate the input image data, and the back propagation process mainly compares the output sample value calculated in the forward transfer process with the actual value of the sample.…”

Section: Back Propagation Algorithmmentioning

confidence: 99%

Teaching Method of Japanese Professional Writing Course Based on Big Data Fusion

Zhao

Guocai

2022

Security and Communication Networks

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In recent years, the number of Japanese learners has increased year by year. When Japanese is learned as a language, knowledge of the language itself is indispensable. This article aims to explore the teaching methods of Japanese professional writing courses based on the integration of big data. This article first introduces big data fusion and introduces the definition and model of data fusion. Generally, there are two types of data fusion models: distributed and centralized. Then, I analyzed the artificial neural network algorithm, which is a computational model that imitates the animal brain, and then researched the context-based teaching of Japanese professional courses and analyzed the context-based teaching of Japanese professional writing. The results of the context-based Japanese course teaching research show that the average Japanese writing score of the experimental class is 72.7833, the control class score is 66.3333, and the composition fluency scores are 156.27 and 119.73. It can be concluded that the composition performance and composition fluency of students in the experimental class are higher than those in the control class, so educators should let students strengthen vocabulary spelling and memory skills in situational teaching.

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Big-BOE: Fusing Spanish Official Gazette with Big Data Technology

Cited by 9 publications

References 42 publications

A Big Data Integration Platform for Ideological and Political Education for Smart Campuses

A Big Data Integration Platform for Ideological and Political Education for Smart Campuses

Construction of a Legal System of Corporate Social Responsibility Based on Big Data Analysis Technology

Teaching Method of Japanese Professional Writing Course Based on Big Data Fusion

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