Construction and knowledge service of evaluation indicators for hot words in scientific journals
[Purposes]This paper aims to construct evaluation indicators for hot words in journals and help users quickly and intuitively understand the cutting-edge fields and directions of journal research through the hot word ranking service.[Methods]The online literature research method was used to analyze the features of extracted entries in the current intelligent word segmentation lexicon;methods such as parameterized and standardized unique labeling were used to extract computational parameters associated with hot words,and statistical analysis was conducted.Mathematical models were built,and multidimensional sorting was performed.[Findings]A journal effective entry extraction model is constructed,and effective entries are screened and labeled in a standardized manner.A mathematical model for hot word evaluation indicators is constructed through logical calculation for effective entries with parameter information.An application example of knowledge service of hot word indicator is 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.
Scientific journalEvaluation indicatorKnowledge serviceIntelligent word segmentation
NETL
NSTL
万方数据
