[Purpose/significance] This study aims to analyze and propose the knowledge discovery strategy and build a knowledge discovery model of virtual health community text data. [Method/process] Firstly it summarized features of virtual health community text data, in view of the difficult of data mining to formulate the corresponding knowledge discovery strategy, and guided by DIKW system, to build knowledge discovery model of virtual health community text data based on knowledge discovery strategy. Through the application of computer code, natural language processing, syntactic analysis, and methods of inference rules, it realized the sublimation process of data value from free text data to the wisdom of adverse drug reactions. [Result/conclusion] Empirical research is carried out to verify the effectiveness and operability of the proposed knowledge discovery strategy and knowledge discovery model, so that it can provide reference for the subsequent theory and empirical research on knowledge discovery of virtual health community text data.
Mu Dongmei
,
Ju Yuanhong
,
Dai Wenhao
,
Huang Lili
. Knowledge Discovery Strategy and Model of Virtual Health Community Text Data[J]. Library and Information Service, 2018
, 62(5)
: 125
-131
.
DOI: 10.13266/j.issn.0252-3116.2018.05.014
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