Utilizing Natural Language Processing to Enhance Ideological Education in Tibetan Universities

Abstract

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.