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

• Main Authors: Deng Wen-Xiang (Author), Zhu Jian-Ping (Author), Li Jing (Author), Yuan Zhi-Ying (Author), Wu Hua-Ying (Author), Yao Zhong- Hua (Author), Zhang Yi-Ge (Author), Zhang Wen-An (Author), Huang Hui-Yong (Author)
• Format: Book
• Published: KeAi Communications Co., Ltd., 2019-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

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...