The presence of occupational structure in online texts based on word embedding NLP models

Abstract Research on social stratification is closely linked to analyzing 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 soci...

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Autores principales:	Zoltán Kmetty, Júlia Koltai, Tamás Rudas
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Social stratification Prestige Occupations Natural Language Processing Word embedding Text mining Computer applications to medicine. Medical informatics R858-859.7
Acceso en línea:	https://doaj.org/article/648f83ef0c5942d78bbc6ab9c989eb5c
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spelling	oai:doaj.org-article:648f83ef0c5942d78bbc6ab9c989eb5c2021-11-28T12:40:51ZThe presence of occupational structure in online texts based on word embedding NLP models10.1140/epjds/s13688-021-00311-92193-1127https://doaj.org/article/648f83ef0c5942d78bbc6ab9c989eb5c2021-11-01T00:00:00Zhttps://doi.org/10.1140/epjds/s13688-021-00311-9https://doaj.org/toc/2193-1127Abstract Research on social stratification is closely linked to analyzing 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 a 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 mainline of stratification literature so far: the power and organizational aspect.Zoltán KmettyJúlia KoltaiTamás RudasSpringerOpenarticleSocial stratificationPrestigeOccupationsNatural Language ProcessingWord embeddingText miningComputer applications to medicine. Medical informaticsR858-859.7ENEPJ Data Science, Vol 10, Iss 1, Pp 1-20 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Social stratification Prestige Occupations Natural Language Processing Word embedding Text mining Computer applications to medicine. Medical informatics R858-859.7
spellingShingle	Social stratification Prestige Occupations Natural Language Processing Word embedding Text mining Computer applications to medicine. Medical informatics R858-859.7 Zoltán Kmetty Júlia Koltai Tamás Rudas The presence of occupational structure in online texts based on word embedding NLP models
description	Abstract Research on social stratification is closely linked to analyzing 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 a 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 mainline of stratification literature so far: the power and organizational aspect.
format	article
author	Zoltán Kmetty Júlia Koltai Tamás Rudas
author_facet	Zoltán Kmetty Júlia Koltai Tamás Rudas
author_sort	Zoltán Kmetty
title	The presence of occupational structure in online texts based on word embedding NLP models
title_short	The presence of occupational structure in online texts based on word embedding NLP models
title_full	The presence of occupational structure in online texts based on word embedding NLP models
title_fullStr	The presence of occupational structure in online texts based on word embedding NLP models
title_full_unstemmed	The presence of occupational structure in online texts based on word embedding NLP models
title_sort	presence of occupational structure in online texts based on word embedding nlp models
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/648f83ef0c5942d78bbc6ab9c989eb5c
work_keys_str_mv	AT zoltankmetty thepresenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels AT juliakoltai thepresenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels AT tamasrudas thepresenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels AT zoltankmetty presenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels AT juliakoltai presenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels AT tamasrudas presenceofoccupationalstructureinonlinetextsbasedonwordembeddingnlpmodels
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The presence of occupational structure in online texts based on word embedding NLP models

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