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Processing methods for series analysis, and computer program and processing system that when the keyword

机译:进行序列分析的处理方法,以及当关键字时的计算机程序和处理系统

摘要

Processing for a time-series analysis of keywords comprises clustering or classifying pieces of document data, each of which is description of a phenomenon in a natural language, on the basis of frequencies of occurrence of keywords in the pieces of document data, individual keywords being also clustered or classified by clustering or classifying the pieces of document data, and performing a time-series analysis of frequencies of occurrence of pieces of document data containing individual keywords in clusters or classes into which the pieces of document data are clustered or classified or a time-series analysis of frequencies of occurrence of pieces of document data containing clusters or classes into which the individual keywords are clustered or classified. Frequency distribution showing variation of the frequencies of occurrence of the pieces of document data is acquired by the time-series analysis.
机译:关键字的时间序列分析的处理包括:基于文档数据中关键字的出现频率,对文档数据进行聚类或分类,每个文档数据都是对自然语言中现象的描述。也可以通过对文档数据进行聚类或分类,并对包含单个关键词的聚类或分类的文档数据的出现频率进行时间序列分析,以对文档数据进行聚类或分类,或者对文档数据进行聚类或分类。对文档数据出现频率的时间序列分析,这些数据包含将各个关键字进行聚类或分类的聚类或类。通过时间序列分析来获取示出文档数据的出现频率的变化的频率分布。

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