中国地方政府工作报告中的齐普法则:使用自然语言处理和回归分析进行了21年的研究
1School of International Languages, Xiamen University of Techonology, Xiamen, Fujian, China.
PloS one
|May 20, 2025
概括
这项研究证实了中国政府报告中的Zipf定律,发现稳定的Zipf系数接近1. 2011年的转变表明,政治沟通中的标准化增加了.
科学领域:
- 量化语言学 量化语言学
- 计算语言学 计算语言学
- 政治科学 政治科学是指政治学.
背景情况:
- 齐夫定律是定量语言学的基本原理,描述了单词频率分布.
- 分析政治文件提供了对沟通模式和政策转变的见解.
- 中国省级政府的工作报告为语言分析提供了丰富的语料库.
研究的目的:
- 在中国省级政府工作报告中实证地调查Zipf定律的适用性和演变,从2003年到2023年.
- 识别随着时间的推移对单词频率分布的趋势和潜在影响因素.
- 探索中国国内遵守齐普法的区域差异.
主要方法:
- 利用自然语言处理 (NLP) 技术,包括用定制字典对 Jieba 单词进行细分.
- 应用了双对数回归模型来分析单词频率分布.
- 分析了651份跨越21年的中国省级政府工作报告.
主要成果:
- 齐普夫系数始终保持在接近1的水平,这表明人们普遍遵守齐普夫定律.
- 2011年观察到一个显著的转折点,随后Zipf系数出现了持续的上升趋势.
- 与其他省级地区相比,中央自治市的Zipf系数较高,其他地区的区域差异很小.
结论:
- 齐夫定律适用于分析的中国政治文件集体.
- 2011年观察到的转变与政策沟通的标准化增加有关,可能受到中国共产党第十八届全国代表大会的影响.
- 未来的研究应该扩大范围,包括较低的行政层面,并进行跨文化比较.
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