DocumentCode :
2402531
Title :
The Development of the Tool for Understanding Contents of a Large Amount of Text by Means of User-Generated Word Network
Author :
Ito, Takaichi ; Suwa, Masaki
Author_Institution :
Grad. Sch. of Media & Governance, Keio Univ., Fujisawa, Japan
fYear :
2010
fDate :
18-20 Aug. 2010
Firstpage :
522
Lastpage :
525
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.
Keywords :
computational linguistics; data mining; data visualisation; software tools; text analysis; co-occurrence network; text mining; tool development; user generated word network; Data mining; Data visualization; Humans; Indium tin oxide; Layout; Search engines; Twitter; human interaction; text maining; visualization; word network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Science (ICIS), 2010 IEEE/ACIS 9th International Conference on
Conference_Location :
Yamagata
Print_ISBN :
978-1-4244-8198-9
Type :
conf
DOI :
10.1109/ICIS.2010.111
Filename :
5590975
Link To Document :
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