首页> 外文OA文献 >The Axiology of Necrologies: Using Natural Language Processing to Examine Values in Obituaries
【2h】

The Axiology of Necrologies: Using Natural Language Processing to Examine Values in Obituaries

机译:神经学的价值论:使用自然语言处理来检查Ob告中的价值

摘要

This dissertation is centrally concerned with exploring obituaries as repositories of values. Obituaries are a publicly-available natural language source that are variably written for members of communities that are wide (nation-level) and narrow (city-level, or at the level of specific groups therein). Because they are explicitly summative, limited in size, and written for consumption by a public audience, obituaries may be expected to express concisely the aspects of their subjects' lives that the authors (often family members living in the same communities) found most salient or worthy of featuring.140,599 obituaries nested in 832 newspapers from across the USA were scraped with permission from *Legacy.com,* an obituaries publisher. Obituaries were coded for the age at death and gender (female/male) of the deceased using automated algorithms. For each publishing newspaper, county-level median income, educational achievement (operationalized as percent of the population with a Bachelor's degree or higher), and race and ethnicity were averaged across counties, weighting by population size.A Neo4J graph database was constructed using WordNet and the University of South Florida Free Association Norms datasets. Each word in each obituary in the corpus was lemmatized. The shortest path through the WordNet graph from each lemma to 30 Schwartz value prototype words published by Bardi, Calogero, and Mullen (2008) was then recorded. From these path lengths, a new measure, "word-by-hop," was calculated for each Schwartz value to reflect the relative lexical distance between each obituary and that Schwartz value.Of the Schwartz values, Power, Conformity, and Security were most indicated in the corpus, while Universalism, Hedonism, and Stimulation were least indicated. A series of nine two-level regression models suggested that, across Schwartz values, newspaper community accounted for the greatest amount of word-by-hop variability in the corpus. The best-fitting model indicated a small, negative effect of female status across Schwartz values. Unexpectedly, Hedonism and Conformity, which had conceptually opposite prototype words, were highly correlated, possibly indicating that obituary authors "compensate" for describing the deceased in a hedonistic way by concurrently emphasizing restraint. Future research could usefully further expand word-by-hop and incorporate individual-level covariates that match the newspaper-level covariates used here.
机译:本文主要涉及探索ob告作为价值储存库。 itu告是可公开获得的自然语言来源,可变语言是为宽(国家级)和窄(城市级或其中特定群体的级别)的社区成员编写的。由于ob书是明确概括性的,篇幅有限的,并且是供公众听众消费的,因此itu告可以简明扼要地表达作者(通常是生活在同一社区的家庭成员)认为最重要或最重要的主题生活方面。值得一提的是,with书出版商* Legacy.com *允许将遍布美国832家报纸的140,599张ob告aries弃。使用自动算法对告进行了编码,以说明死者的死亡年龄和性别(男女)。对于每个出版报纸,将各县的县中位数收入,教育成就(达到学士学位或更高学历的人口百分比)以及种族和种族进行平均,并按人口规模加权。使用WordNet构建Neo4J图数据库以及南佛罗里达大学自由协会规范数据集。语料库中每个each告词的每个词都经过词素化。然后记录了从每个引理到Bardi,Calogero和Mullen(2008)发布的30个Schwartz值原型单词的最短路径。从这些路径长度中,为每个Schwartz值计算一种新的度量“逐跳”,以反映每个ob告与Schwartz值之间的相对词汇距离。在Schwartz值中,Power,Conformity和Security最重要在语料库中显示为,而普遍性,享乐主义和刺激性为最少。一系列的九个两级回归模型表明,在Schwartz价值观中,报纸社区占语料库中逐词差异最大。最佳拟合模型表明,在Schwartz价值观中,女性地位的负面影响很小。出乎意料的是,在概念上与原型字相反的享乐主义和顺从性是高度相关的,这可能表明“告作者通过同时强调克制来以享乐主义的方式“补偿”死者。未来的研究可能会有用地进一步扩展逐词,并结合与此处使用的报纸级协变量匹配的个人级协变量。

著录项

  • 作者

    Levernier Jacob;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类
  • 入库时间 2022-08-20 20:56:04

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号