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Pairwise Similarity Analysis and Quality Estimation on Classical Chinese Poetry of Ancient Korea in 15th Century

机译:15世纪古代韩国古典中国诗歌的成对相似性分析与质量估算

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摘要

Big data analytics can assist studies on Classical literature by enabling extensive and in-depth analysis of massive data. This paper represents a preliminary study on Classical Chinese poetry in the middle period of Joseon with text mining techniques. We tried to evaluate the relations between poems with several similarity analysis methods adjusted for the characteristics of Classical Chinese poetry. The quality of poems was also tried to estimate based on their vocabulary with similar analysis methods. Nine poem books in the 15th century have been selected for analysis to validate the effectiveness of this approach. Analysis results show a high potential of this approach which correspond to the existing intuitive evaluation on the relations among the target poems and poets.
机译:大数据分析可以通过对大规模数据进行广泛和深入分析来帮助研究古典文献。 本文代表了Joseon中期古典中国诗歌的初步研究,具有文本挖掘技术。 我们试图评估诗歌与几种相似性分析方法的关系,调整了古典诗歌的特征。 诗歌的质量也试图根据具有类似分析方法的词汇量来估算。 已选择15世纪的九本诗歌书籍进行分析以验证这种方法的有效性。 分析结果表明这种方法的高潜力,对应于目标诗歌和诗人之间关系的现有直观评价。

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