Spatial statistics with three-tier breadth first search for analyzing social geocontents

Yutaka Arakawa, Shigeaki Tagashira, Akira Fukuda

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 引用 (Scopus)

抜粋

The objective of this paper is to clear out the relation ship between user's contexts and really used words in order to realize the context-aware Japanese text input method editor. We propose two spatial analyzing methods for finding location-dependent words among the huge Japanese data with geographical information. In this paper, we analyze a half million tweets gathered by our system since Dec. 2009. First, we analyze the standard deviation of latitude and longitude, which shows variation level. It is very simple way, but it can't find out the keywords that depend on several locations. For example, famous department stores distributed all over Japan have a large standard deviation, but they will depend on each location. Therefore, we propose three-tier breadth first search, where the searching area is divided into some square mesh, and we extract the area which include tweets more than average of upper area. In addition, we re-divide the extracted areas into more small areas. Our method can extract some locations for one keyword.

元の言語英語
ホスト出版物のタイトルKnowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings
ページ252-260
ページ数9
エディションPART 4
DOI
出版物ステータス出版済み - 9 29 2011
イベント15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011 - Kaiserslautern, ドイツ
継続期間: 9 12 20119 14 2011

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 4
6884 LNAI
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他15th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2011
ドイツ
Kaiserslautern
期間9/12/119/14/11

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

フィンガープリント Spatial statistics with three-tier breadth first search for analyzing social geocontents' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Arakawa, Y., Tagashira, S., & Fukuda, A. (2011). Spatial statistics with three-tier breadth first search for analyzing social geocontents. : Knowledge-Based and Intelligent Information and Engineering Systems - 15th International Conference, KES 2011, Proceedings (PART 4 版, pp. 252-260). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6884 LNAI, 番号 PART 4). https://doi.org/10.1007/978-3-642-23866-6_27