基于用户生成词网络的海量文本内容理解工具的开发

2010 IEEE/ACIS 9th International Conference on Computer and Information Science Pub Date : 2010-08-18 DOI:10.1109/ICIS.2010.111

Takaichi Ito, M. Suwa

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引用次数: 0

摘要

我们开发了一种工具，专门针对用户能够在评估设置哪个单词作为节点的同时构建单词网络的目标。词的共现网络是一个具有大量节点和链接的复杂网络，并不是人类所能理解的。因此，我们设计了随着网络范围的逐渐扩大而显示网络的界面，以便用户能够理解。这导致了工具用户通过从数据中澄清假设和事实之间的差异来搜索单词之间有趣关系的解决方案。

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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

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.

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2010 IEEE/ACIS 9th International Conference on Computer and Information Science

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