2019 IEEE Pacific Visualization Symposium (PacificVis)最新文献_第4页

CorFish: Coordinating Emphasis Across Multiple Views Using Spatial Distortion CorFish:使用空间失真在多个视图中协调重点

2019 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2019-04-01 DOI: 10.1109/PacificVis.2019.00009

Gaëlle Richer, Romain Bourqui, D. Auber

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引用次数: 1

Publisher's Information 出版商的信息

2019 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2019-04-01 DOI: 10.1109/pacificvis.2019.00066

引用次数: 0

An Interactive Visual Analytics System for Incremental Classification Based on Semi-supervised Topic Modeling 基于半监督主题建模的交互式可视化增量分类分析系统

2019 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2019-04-01 DOI: 10.1109/PacificVis.2019.00025

Yuyu Yan, Y. Tao, Sichen Jin, Jin Xu, Hai Lin

{"title":"An Interactive Visual Analytics System for Incremental Classification Based on Semi-supervised Topic Modeling","authors":"Yuyu Yan, Y. Tao, Sichen Jin, Jin Xu, Hai Lin","doi":"10.1109/PacificVis.2019.00025","DOIUrl":"https://doi.org/10.1109/PacificVis.2019.00025","url":null,"abstract":"Text labeling for classification is a time-consuming and unintuitive process. Given an unannotated text collection, it is difficult for users to determine what label to create and how to label the initial training set for classification. Thus, we present an interactive visual analytics system for incremental text classification based on a semi-supervised topic modeling method, modified Gibbs sampling maximum entropy discrimination latent Dirichlet allocation (Gibbs MedLDA). Given a text collection, Gibbs MedLDA generates topics as a summary of the text collection. We design a scatter plot to display documents and topics simultaneously to show the topic information, and this helps users explore the text collection structurally and find labels for creating. After labeling documents, Gibbs MedLDA is applied to the text collection with labels again, and it generates both the topic and classification information. We also provide a scatter plot with the classifier boundary and a matrix view to present weights of classifiers. Users can iteratively label documents to refine each classifier. We evaluate our system via a user study with a benchmark corpus for text classification and case studies with two unannotated text collections.","PeriodicalId":208856,"journal":{"name":"2019 IEEE Pacific Visualization Symposium (PacificVis)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129222236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Jacob's Ladder: The User Implications of Leveraging Graph Pivots 雅各布的阶梯:利用图形轴的用户含义

2019 IEEE Pacific Visualization Symposium (PacificVis) Pub Date : 2018-10-06 DOI: 10.1109/PacificVis.2019.00014

Alex Bigelow, M. Monroe

引用次数: 2