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| Analyzing Topic Semantic Evolution with LDA: Case Study of Lithium Ion Batteries |
Peng Guan1,2,Yuefen Wang2( ),Zhu Fu3 |
1(School of Economics and Law, Chaohu University, Hefei 238000, China)
2(School of Economics and Management, Nanjing University of Science & Technology, Nanjing 210094, China);
3(School of Economic and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China) |
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Abstract [Objective] This paper tries to identify the trends of topic semantic evolution at different development stages. [Methods] First, we combined the LDA model and life cycle theory to propose an analysis method. It addressed three technical issues, such as filtering topics, calculating topic semantic similarity and identifying topic semantic evolution patterns of lithium ion battery techniques. [Results] We found that topic inheritance ran through the whole process of discipline development. The topic splitting started at the growth stage and achieved 6 at the fast development stage. The topic merging began at the development stage and reached 5 at the fast development stage. [Limitations] More research is needed to determine whether the overall topics can cover all phases of the developments. The knowledge map of topic semantic evolution also needs to be created automatically. [Conclusions] The proposed method could identify key semantic evolution patterns such as inheritance, division and merging in the development stages. It provides valuable decision-making information for the knowledge innovation.
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Received: 14 December 2018
Published: 06 September 2019
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Corresponding Authors:
Yuefen Wang
E-mail: yuefen163@163.com
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