交通ネットワーク上の関連地名の分散パターンの分析 [in Japanese] Distribution Pattern Analysis of Associated Geographical Names on Transportation Network [in Japanese]
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I present a new text mining approach combined with network analysis to quantify the distribution patterns of the associated geographical names on a transportation network. extract geographical names from user's search queries recorded in search engine query logs and compare the similarities of any pair of geographical names using Jaccard coefficient. I found that a set of associated geographical names for each geographical name shows a specific spatial distribution pattern on transportation network and define a measure for quantifying such characteristics. Furthermore, I discuss its characteristics and application for information navigation.
- Transactions of the Japanese Society for Artificial Intelligence
Transactions of the Japanese Society for Artificial Intelligence 27(2), 34-39, 2012
The Japanese Society for Artificial Intelligence