The human touch: How non-expert users perceive, interpret, and fix topic models

Research article (International Journal of Human-Computer Studies, 2017) · cited 91× · AI/ML
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The human touch: How non-expert users perceive, interpret, and fix topic models

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The human touch: How non-expert users perceive, interpret, and fix topic models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). The human touch: How non-expert users perceive, interpret, and fix topic models. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-human-touch-how-non-expert-users-perceive-interpret-and-fix-topic-models
MLA “The human touch: How non-expert users perceive, interpret, and fix topic models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-human-touch-how-non-expert-users-perceive-interpret-and-fix-topic-models.
BibTeX @misc{4ortxyz_the-human-touch-how-non-expert-users-perceive-interpret-and-fix-topic-models_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The human touch: How non-expert users perceive, interpret, and fix topic models}}, year = {2026}, url = {https://4ort.xyz/entity/the-human-touch-how-non-expert-users-perceive-interpret-and-fix-topic-models}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The human touch: How non-expert users perceive, interpret, and fix topic models — https://4ort.xyz/entity/the-human-touch-how-non-expert-users-perceive-interpret-and-fix-topic-models (retrieved 2026-05-24)

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