Q&A TEXT IN A CHINESE ONLINE MEDICAL COMMUNITY

Using Python. we crawl a total of 18, 793 diabetes related Q&amp;A between Jun. 1, 2016 and Sept. 1, 2020 on xywy.com, a famous Chinese Online Medical Community. Each data contains four parts of the question detail page: <em>Title</em>, <em>Problem Description</em>, <em>User ID </em>and <em>Question Time</em>, and three parts of the doctor’s answer page: <em>Doctor ID</em>, <em>Answer Content</em> and <em>Answer Time</em>. After preprocessing such as cleaning and deduplication, we finally obtain 18,521 valid data. Considering the <em>Problem Description</em> contains the background information of the doctor’s answer, we combine the two into the <em>Answer Content,</em> which is used as the text of the knowledge graph construction later.