共词分析是一种有效地文献内容分析方法,已经在各种情报研究工作中得到了广泛的应用.共词分析方法本身也在应用过程不断被改进和发展,但是目前共词分析研究主要关注二元词对共现的研究,对三元甚至多元词组的共现很少涉及.研究参考国内外共词分析研究成果,借鉴DLG关联挖掘算法,提出基于位向量的三元共词分析算法和基于坐标图的三元共词结果分析方法.并以国内知识发现研究的期刊论文关键词为对象进行三元共词分析实证研究,发现三元共词结果具有一定的实际意义,三元共词分析有一定的应用价值.%Co-word analysis is an effective method for literature content analysis, and the method has been widelyused in many information analysis projects. In the past decades, co-word method is constantly being improved and developed, but there were major concerns analysis of double words, ternary or even multiple of the common phrases are rarely involved. Reference to the achievement of domestic and international co-word analysis, learn from DLG association mining algorithm, propose the ternary co-word analysis algorithm that based on bit vector and the map coordinates analysis method of the ternary Co-word results. As an empirical, domestic knowledge discovery journal papers key words is studied, and this study finds the results of ternary word has some practical significance, ternary co-word analysis has some practical value.
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