Integrating Semantic Directions with Concept Mover's Distance to Measure Binary Concept Engagement
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DOI: 10.31219/osf.io/36r2d
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References listed on IDEAS
- repec:nas:journl:v:115:y:2018:p:e3635-e3644 is not listed on IDEAS
- Dustin S. Stoltz & Marshall A. Taylor, 2019. "Concept Mover’s Distance: measuring concept engagement via word embeddings in texts," Journal of Computational Social Science, Springer, vol. 2(2), pages 293-313, July.
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Cited by:
- Juan Pablo Pardo-Guerra & Prithviraj Pahwa, 2022. "The Extended Computational Case Method: A Framework for Research Design," Sociological Methods & Research, , vol. 51(4), pages 1826-1867, November.
- Andrea Voyer & Zachary D. Kline & Madison Danton & Tatiana Volkova, 2022. "From Strange to Normal: Computational Approaches to Examining Immigrant Incorporation Through Shifts in the Mainstream," Sociological Methods & Research, , vol. 51(4), pages 1540-1579, November.
- Taylor, Marshall A. & Stoltz, Dustin S., 2024. "A Workflow for Analyzing Cultural Schemas in Texts," SocArXiv zvwn2, Center for Open Science.
- Stijn Daenekindt & Julian Schaap, 2022. "Using word embedding models to capture changing media discourses: a study on the role of legitimacy, gender and genre in 24,000 music reviews, 1999–2021," Journal of Computational Social Science, Springer, vol. 5(2), pages 1615-1636, November.
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