摘要
图书馆新媒体平台在开展读者服务工作中发挥着重要作用。随着新媒体平台中的文本数据规模不断增大,文本处理也变得更加复杂。为了实现图书馆新媒体平台短文本的智慧化管理,本文根据图书馆新媒体平台短文本特点提出基于深度学习的短文本分类方案,使其分类具有实时性和准确性,促进馆员和读者之间的多维互动,提升图书馆创新服务的内涵和水平。
In the era of rapid development of artificial intelligence technology and internet technology,an important role is played by library new media platform in servicing reader work.At the same time,the short text data scale of new media platform is increasing.In order to realize the intelligent management of the short texts,according to the characteristics of the short texts,the scheme of the short texts classification is proposed based on deep learning,then the short text can be accurately classified in real time,which helps to promote multi-dimensional interaction between librarians and readers,and enhance the connotation and quality of library innovative service.
作者
吴翔
WU Xiang(Library,Anhui Normal University,Wuhu 241000,Anhui,China)
出处
《安徽工业大学学报（社会科学版）》
2024年第2期21-24,共4页
Journal of Anhui University of Technology：Social Sciences
基金
安徽省图书馆学会研究课题(2022AHXHB15)。
关键词
图书馆
新媒体平台
深度学习
短文本分类
智慧化管理
library
new media platform
deep learning
short text classification
intelligent management
