Construction and application of evaluation indicators for hot keywords in journals based on term banks

Subjects: Digital Publishing >> Internet Journals submitted time 2024-02-23

CHANG Zongqiang LIU Wei HOU Chunmei YE Xiyan ZHANG Jinghui TAO Hua

Abstract： [Purposes] To construct evaluation indicators for hot words in journals, and through the hot word ranking service, help users quickly and intuitively understand the cutting-edge fields and directions of journal research. [Methods] Using online literature research method to analyze the features of extracted entries in the current intelligent word segmentation lexicon; Using methods such as parameterization and standardized unique labeling to extract computational parameters associated with hot words, conducting statistical analysis, constructing mathematical models, and conducting multidimensional sorting. [Findings] A journal effective entry extraction model was constructed, and effective entries were screened and standardized. A mathematical model for hot word evaluation indicators was constructed through logical calculation for effective entries with parameter information. An application example of hot word indicator knowledge service was presented in the form of a ranking list. [Conclusions] The standardized unique labeling method can improve the entry recognition ability of the segmentation lexicon, making the segmentation results more professional and reliable; The journal hot word ranking service can help users quickly and intuitively understand the cutting-edge fields and directions of journal research.

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