OCTVis: Ontology-Based Comparison of Topic Models

2019 IEEE Visualization Conference (VIS) Pub Date : 2019-10-01 DOI:10.1109/VISUAL.2019.8933646

Amon Ge, Hyeju Jang, G. Carenini, K. Ho, Young ji Lee

引用次数: 3

Abstract

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.

查看原文本刊更多论文

OCTVis:基于本体的主题模型比较

评估主题建模结果需要领域专家和NLP专家之间的沟通。OCTVis是一个可视化界面，用于在映射到领域本体时比较两个主题模型的质量。它的设计基于详细的数据和任务模型，并在医疗保健领域的案例研究中进行了测试。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

2019 IEEE Visualization Conference (VIS)

自引率

0.00%

发文量