1School of Software, Dalian University of Technology, Dalian 116620, China 2International Office, Dalian University of Technology, Dalian 116024, China 3School of Computer Science and Technology, Dalian University of Technology, Dalian 116023, China
[Objective] This paper reviews the developments of metaphor research in China in the past 40 years, aiming to provide references for linguists and then narrow the gaps between Chinese and foreign researchers. [Methods] First, we used keywords extraction algorithms to map metaphor documents into keyword sets. Then, we chose effective features as parameters for the regression models, which helped us predict the frequency of trending words in the next year. Finally, we analyzed the developments of metaphor research diachronically and synchronously. [Results] Our study compared the results of five regression models. Among them, the GBR model with the best fitting degree had the highest prediction accuracy for next year’s trending words. The feature ablation experiment also confirmed that our selected features were effective. [Limitations] The accuracy of keyword extraction algorithm could be optimized. [Conclusions] Metaphor research is developing towards the direction of cross-domains and inter-disciplines. The method of feature selection provides more references for research in prediction models.
张冬瑜, 顾丰, 崔紫娟, 胡绍翔, 张伟, 林鸿飞. 基于关键词抽取算法的隐喻研究趋势分析*[J]. 数据分析与知识发现, 2022, 6(4): 130-138.
Zhang Dongyu, Gu Feng, Cui Zijuan, Hu Shaoxiang, Zhang Wei, Lin Hongfei. Reviewing Metaphor Research Based on Keyword Extraction Algorithm. Data Analysis and Knowledge Discovery, 2022, 6(4): 130-138.
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