[Purpose/significance] Core technology topic identification based on a large number of patent documents is helpful to detect key technologies in a technical field and to analyze the direction of the development of key technologies. It is the basic information work for technological innovation and has certain significance for researchers, enterprises and even the national level.[Method/process] This paper proposes a core technology topic identification method based on Chunk-LDAvis. Firstly, it is based on the classic LDA model to identify the topics. Then, the noun chunk is used to mark the results of the initial LDA topic identification, and the result of the Chunk-LDA topic recognition is constructed to improve its interpretability. Then based on the social network analysis method, the topic network is constructed to identify the core technical topics; based on the LDAvis toolkit, the interactive Chunk-LDAvis core technology topic association analysis map is plotted, and the hidden links of the core technical topics are found, and the core technology topic detection is assisted.[Result/conclusion] Through the empirical study on the field of nanoscale agriculture, the accuracy and feasibility of the proposed method are verified.
Liu Ziqiang
,
Xu Haiyun
,
Yue Lixin
,
Fang Shu
. Research on Core Technology Topic Identification Based on Chunk-LDAvis[J]. Library and Information Service, 2019
, 63(9)
: 73
-84
.
DOI: 10.13266/j.issn.0252-3116.2019.09.008
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