{"title":"基于文本分析和网络可视化的非链接文档可视化分析","authors":"B. Shizuki, H. Hosobe","doi":"10.1109/IV.2013.30","DOIUrl":null,"url":null,"abstract":"We describe a tool to analyze unlinked documents by visualizing networks extracted using textual analysis. Our focus is on developing an interactive visual analytics tool that enables a user to interactively observe data to detect features of the documents that may be known or unknown in advance. We have tested our tool using two data sets, one consisting of 1000 documents and the other of 360 documents. The resulting visualization showed that our tool provides a simple yet powerful method to identify trends and to find facts in the documents quickly due to its interactivity.","PeriodicalId":354135,"journal":{"name":"2013 17th International Conference on Information Visualisation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Toward Visual Analytics of Unlinked Documents by Textual Analysis and Network Visualization\",\"authors\":\"B. Shizuki, H. Hosobe\",\"doi\":\"10.1109/IV.2013.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe a tool to analyze unlinked documents by visualizing networks extracted using textual analysis. Our focus is on developing an interactive visual analytics tool that enables a user to interactively observe data to detect features of the documents that may be known or unknown in advance. We have tested our tool using two data sets, one consisting of 1000 documents and the other of 360 documents. The resulting visualization showed that our tool provides a simple yet powerful method to identify trends and to find facts in the documents quickly due to its interactivity.\",\"PeriodicalId\":354135,\"journal\":{\"name\":\"2013 17th International Conference on Information Visualisation\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 17th International Conference on Information Visualisation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IV.2013.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 17th International Conference on Information Visualisation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IV.2013.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Toward Visual Analytics of Unlinked Documents by Textual Analysis and Network Visualization
We describe a tool to analyze unlinked documents by visualizing networks extracted using textual analysis. Our focus is on developing an interactive visual analytics tool that enables a user to interactively observe data to detect features of the documents that may be known or unknown in advance. We have tested our tool using two data sets, one consisting of 1000 documents and the other of 360 documents. The resulting visualization showed that our tool provides a simple yet powerful method to identify trends and to find facts in the documents quickly due to its interactivity.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
