OCTVis: Ontology-Based Comparison of Topic Models

被引：0
|
作者：
Ge, Amon [1 ]
Jang, Hyeju [1 ]
Carenini, Giuseppe [1 ]
Ho, Kendall [2 ]
Lee, Young Ji [3 ]
机构：
[1] Univ British Columbia, Dept Comp Sci, Vancouver, BC, Canada
[2] Univ British Columbia, Dept Emergency Med, Vancouver, BC, Canada
[3] Univ Pittsburgh, Sch Nursing, Pittsburgh, PA 15260 USA
来源：
2019 IEEE VISUALIZATION CONFERENCE (VIS) | 2019年
关键词：
Human-centered computing; Visualization; Visualization design and evaluation methods;
D O I：
10.1109/visual.2019.8933646
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Evaluating topic modeling results requires communication between domain and NLP experts. OCTVis is a visual interface to compare the quality of two topic models when mapped against a domain ontology. Its design is based on detailed data and task models, and was tested in a case study in the healthcare domain.
引用
收藏
页码：66 / 70
页数：5
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