论文标题
基于单词嵌入NLP模型的在线文本中的职业结构存在
The presence of occupational structure in online texts based on word embedding NLP models
论文作者
论文摘要
社会分层的研究与分析与不同职业相关的声望密切相关。这项研究重点是在语义空间中以大量文本数据表示的职业位置。将结果与社会分层的标准结果进行了比较，以查看是否复制了经典结果，以及是否可以将其他见解纳入职业的社会地位。本文对两个问题给出了肯定的答案。结果表明，从文本分析获得的职业结构与声望和社会距离所描述的结构的基本相似性。尽管我们的研究加强了传统文献有关社会分层的许多理论和经验发现，尤其是职业等级制度，但它指出了迄今为止分层文献中未讨论的因素的重要性：权力和组织方面。
Research on social stratification is closely linked to analysing the prestige associated with different occupations. This research focuses on the positions of occupations in the semantic space represented by large amounts of textual data. The results are compared to standard results in social stratification to see whether the classical results are reproduced and if additional insights can be gained into the social positions of occupations. The paper gives an affirmative answer to both questions. The results show fundamental similarity of the occupational structure obtained from text analysis to the structure described by prestige and social distance scales. While our research reinforces many theories and empirical findings of the traditional body of literature on social stratification and, in particular, occupational hierarchy, it pointed to the importance of a factor not discussed in the main line of stratification literature so far: the power and organizational aspect.
