优化关键词利用策略的共词分析研究

This paper propose a keyword optimization plan to solve the problems of small-scale concept defocus and keyword group concept missing, optimize the results of co-word analysis, and expand the breadth and depth of research hotspots recognition. The keyword optimization mode is based on the high-frequency word co-word analysis, introduces the processing method of combining keywords and keyword groups, and obtains the optimization of the co-word analysis results by adjusting the range of the data set. The empirical part takes the topic of “proactive health” as an example, uses DDA software to complete a co-word analysis based on the keyword optimization plan, and detects the research hotspots of proactive health. A keyword optimization plan is proposed, which optimizes the co-word analysis by adjusting the scope of the data set and introducing keyword group recognition. In the empirical research part, in addition to the 5 types of research fields and 12 hotspots initially discovered, the co-word analysis based on the keyword optimization plan expanded to identify 7 potential hotspots and supplemented the discovery of 5 research concepts expressed by compound phrases. The keyword optimization mode enables small-scale concepts to focus on forming clusters, which can be expressed in the clustering process, and also enables the concepts represented by keyword groups to be fully presented.