分析异质文本语料库的两种文本特异性度量的比较

IF 0.2 Q4 LINGUISTICS

Glottometrics Pub Date : 2023-01-01 DOI:10.53482/2023_54_404

A. Oleinik

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引用次数: 1

摘要

这篇文章在分析俄罗斯在乌克兰战争中以四种语言和五个国家的政治和媒体话语时，比较了两种术语特异性指标科恩的d和z得分的表现。除了语言和文体的异质性外，语料库中包含的3347个文本长度不一。正如各种性能指标所证实的那样，这两个度量显示出收敛的有效性。有人认为，除了对文本挖掘和内容分析有用之外，这些措施还可以适用于信息检索和数字人文学科中更广泛的任务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A comparison of two text specificity measures analyzing a heterogenous text corpus

The article compares the performance of two term specificity measures, Cohen’s d and Z-score, when analyzing political and media discourses on Russia’s war in Ukraine in four languages and five countries. In addition to linguistic and stylistic heterogeneity, 3,347 texts included in the corpus have variable length. The two measures display convergent validity, as confirmed by various performance metrics. It is argued that the measures can be adapted to a broader range of tasks in information retrieval and digital humanities, in addition to their usefulness for text mining and content analysis.

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来源期刊

Glottometrics LINGUISTICS-

CiteScore

0.50

自引率

0.00%

发文量

期刊介绍： The aim of Glottometrics is quantification, measurement and mathematical modeling of any kind of language phenomena. We invite contributions on probabilistic or other mathematical models (e.g. graph theoretic or optimization approaches) which enable to establish language laws that can be validated by testing statistical hypotheses.