The development of the tool for understanding contents of a large amount of text by means of user-generated word network

Takaichi Ito, Masaki Suwa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages522-525
Number of pages4
DOIs
Publication statusPublished - 2010 Nov 29
Event9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata, Japan
Duration: 2010 Aug 182010 Aug 20

Publication series

NameProceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

Other

Other9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
CountryJapan
CityYamagata
Period10/8/1810/8/20

Keywords

  • Human interaction
  • Text mining
  • Visualization
  • Word network

ASJC Scopus subject areas

  • Information Systems

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    Ito, T., & Suwa, M. (2010). The development of the tool for understanding contents of a large amount of text by means of user-generated word network. In Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 (pp. 522-525). [5590975] (Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010). https://doi.org/10.1109/ICIS.2010.111