{"title":"The Development of the Tool for Understanding Contents of a Large Amount of Text by Means of User-Generated Word Network","authors":"Takaichi Ito, M. Suwa","doi":"10.1109/ICIS.2010.111","DOIUrl":null,"url":null,"abstract":"We have developed the tool which is specialized to the target that a user is able to construct a word network while evaluating what word to set as a node. A co-occurrence network of words is a complex network with huge number of nodes and links and is not capable for man to interpret as it is. Therefore, we have designed its interface that displays a network as network confines gradually expand in order to users can interpret. This led to the solution that tool users search for interesting relations among words by clarifying difference between one's hypothesis and the fact from data.","PeriodicalId":338038,"journal":{"name":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE/ACIS 9th International Conference on Computer and Information Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIS.2010.111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We have developed the tool which is specialized to the target that a user is able to construct a word network while evaluating what word to set as a node. A co-occurrence network of words is a complex network with huge number of nodes and links and is not capable for man to interpret as it is. Therefore, we have designed its interface that displays a network as network confines gradually expand in order to users can interpret. This led to the solution that tool users search for interesting relations among words by clarifying difference between one's hypothesis and the fact from data.
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
