Research on Hotspots of Educational Application of Natural Language Processing Based on LDA Topic Model

被引：0

作者：

Wang, Meng ^{[1
]}

Xie, Yuyang ^{[1
]}

Tian, Yu ^{[1
]}

机构：

[1] Jiangnan Univ, Sch Humanities, Wuxi, Jiangsu, Peoples R China

来源：

CHINESE LEXICAL SEMANTICS, CLSW 2022, PT II | 2023年 / 13496卷

关键词：

Natural Language Processing; Educational Application; LDA Topic Model; Research Hotspots; CHINESE;

D O I：

10.1007/978-3-031-28956-9_25

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As an important branch of artificial intelligence, natural language processing has become an effective tool to promote educational reform, improve educational quality and cultivate innovative talents. In order to comprehensively and systematically reveal the theme structure and evolution trend of educational application of natural language processing, this study takes the papers from the workshop "Innovative Use of NLP for Building Educational Applications" held by the NAACL conference from 2003 to 2021 as the data and uses LDA topic model for semantic analysis to identify the research topics automatically. Based on the results, this paper analyzes the topic intensity, topic novelty and topic evolution, so as to deeply explore the research hotspots of the educational application of natural language processing and provide reference and support for relevant scholars to grasp the research trends.

引用

页码：315 / 325

页数：11

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