Title | ||
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The Development of the Tool for Understanding Contents of a Large Amount of Text by Means of User-Generated Word Network |
Abstract | ||
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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. |
Year | DOI | Venue |
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2010 | 10.1109/ICIS.2010.111 | Computer and Information Science |
Keywords | Field | DocType |
user-generated word network,large amount,interesting relation,tool users search,word network,huge number,understanding contents,co-occurrence network,network confine,complex network,data mining,indium tin oxide,layout,text mining,visualization,search engines,computational linguistics,data visualization,human interaction,text analysis,data visualisation | World Wide Web,Data visualization,Visualization,Computer science,Computational linguistics,Network simulation,Human interaction,Human–computer interaction,Complex network | Conference |
ISBN | Citations | PageRank |
978-1-4244-8198-9 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Takaichi Ito | 1 | 3 | 1.48 |
Masaki Suwa | 2 | 59 | 9.06 |