Research on Text Mining of Syndrome Element Syndrome Differentiation by Natural Language Processing

Research on Text Mining of Syndrome Element Syndrome Differentiation by Natural Language Processing

Objective: Natural language processing (NLP) was used to excavate and visualize the core content of syndrome element syndrome differentiation (SESD). Methods: The first step was to build a text mining and analysis environment based on Python language, and built a corpus based on the core chapters of...

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Bibliographic Details
Main Authors: Deng Wen-Xiang, Zhu Jian-Ping, Li Jing, Yuan Zhi-Ying, Wu Hua-Ying, Yao Zhong- Hua, Zhang Yi-Ge, Zhang Wen-An, Huang Hui-Yong
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2019-06-01
Series:Digital Chinese Medicine
Online Access:http://www.sciencedirect.com/science/article/pii/S258937771930093X

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http://www.sciencedirect.com/science/article/pii/S258937771930093X

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