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Scholastic: Graphical Human-AI Collaboration for Inductive ..:

, In: Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology,

Hong, Matt-Heun ; Marsh, Lauren A. ; Feuston, Jessica L.... - p. 1-12 , 2022

Link: https://dl.acm.org/doi/10.1145/3526113.3545681

RT 
T1 <cTitle>Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology</cTitle>: T1 <Title>Scholastic: Graphical Human-AI Collaboration for Inductive and Interpretive Text Analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3545681&Exemplar=1&LAN=DE
				
A1 Hong, Matt-Heun
A1 Marsh, Lauren A.
A1 Feuston, Jessica L.
A1 Ruppert, Janet
A1 Brubaker, Jed R.
A1 Szafir, Danielle Albers
PB ACM
YR 2022
K1 human-AI collaboration
K1 interactive document clustering
K1 interactive topic modeling
K1 interpretive research methods
K1 qualitative research
K1 text data
K1 visual analytics
K1 Human-centered computing
K1 Visualization
K1 Visualization application domains
K1 Visual analytics
K1 Collaborative and social computing
K1 Collaborative and social computing systems and tools
K1 Computing methodologies
K1 Artificial intelligence
K1 Natural language processing
SP 1
OP 12
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3526113.3545681
DO https://dl.acm.org/doi/10.1145/3526113.3545681
SF ELIB - SuUB Bremen

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