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Mining Social Science Publications for Survey Variables
[Konferenzbeitrag]
Körperschaftlicher Herausgeber
Association for Computational Linguistics (ACL)
Abstract Research in Social Science is usually based on survey data where individual research questions relate to observable concepts (variables). However, due to a lack of standards for data citations a reliable identification of the variables used is often difficult. In this paper, we present a work-in-pro... mehr
Research in Social Science is usually based on survey data where individual research questions relate to observable concepts (variables). However, due to a lack of standards for data citations a reliable identification of the variables used is often difficult. In this paper, we present a work-in-progress study that seeks to provide a solution to the variable detection task based on supervised machine learning algorithms, using a linguistic analysis pipeline to extract a rich feature set, including terminological concepts and similarity metric scores. Further, we present preliminary results on a small dataset that has been specifically designed for this task, yielding modest improvements over the baseline.... weniger
Thesaurusschlagwörter
Datengewinnung; künstliche Intelligenz; Begriff; Algorithmus; Computerlinguistik; Befragung; Publikation; Sozialwissenschaft; Fachliteratur; Indikatorenbildung; Zeitschrift
Klassifikation
Literaturwissenschaft, Sprachwissenschaft, Linguistik
Informationswissenschaft
Freie Schlagwörter
OpenMinTed
Titel Sammelwerk, Herausgeber- oder Konferenzband
Proceedings of the Second Workshop on NLP and Computational Social Science
Sprache Dokument
Englisch
Publikationsjahr
2017
Seitenangabe
S. 47-52
Status
Postprint; begutachtet (peer reviewed)
Lizenz
Creative Commons - Namensnennung, Nicht-kommerz., Weitergabe unter gleichen Bedingungen 4.0