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

• Главные авторы: Deng Wen-Xiang (Автор), Zhu Jian-Ping (Автор), Li Jing (Автор), Yuan Zhi-Ying (Автор), Wu Hua-Ying (Автор), Yao Zhong- Hua (Автор), Zhang Yi-Ge (Автор), Zhang Wen-An (Автор), Huang Hui-Yong (Автор)
• Формат: ‌
• Опубликовано: KeAi Communications Co., Ltd., 2019-06-01T00:00:00Z.
• Предметы: article
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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...