Utilizing Natural Language Processing to Enhance Ideological Education in Tibetan Universities

This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance liter...

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Bibliographic Details
Published inInternational journal of web-based learning and teaching technologies Vol. 19; no. 1; pp. 1 - 16
Main Authors Yang, Quan, Xin, Huajian, Ji, Xuehua, Mai, Fae
Format Journal Article
LanguageEnglish
Published Hershey IGI Global 07.02.2024
Subjects
Accuracy
Bilingualism
College students
Colleges & universities
Community colleges
Curricula
Datasets
Documents
Education
Ideology
Information literacy
Information retrieval
Information society
Information technology
Infrastructure
Innovations
Knowledge acquisition
Language
Learning
Natural language processing
Neural networks
Query expansion
Segmentation
Sentiment analysis
Students
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Summary:This article analyses the significance of ideological and political education for college students in Tibet and proposes a natural language model for an ideological education curriculum to improve the accuracy of students' document search. The segmentation results are optimized to enhance literature search accuracy, promoting the development of ideological education in Tibetan universities. By utilizing N-gram language models and enhanced technical modes, key information can be quickly obtained, developing students' interest in ideological education. The construction of a corpus is deemed crucial for expedited access to ideological education documents. The study suggests that combining information technology with ideological education can create new opportunities for innovation and reform in the field.
ISSN:1548-1093
1548-1107
DOI:10.4018/IJWLTT.337390