Research on Intelligent Management for Short Text Classification of Library New Media Platform
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Abstract
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.
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