| 講演抄録/キーワード |
| 講演名 |
2013-02-22 09:00
Semantic Self-Organizing Map for Natural Disaster News ○Carlos Enrique Gutierrez・Mohammad Reza Asharif(Univ. of the Ryukyus)・Rafael Villa(InterAmerican Development Bank)・Katsumi Yamashita(Osaka Prefecture Univ.)・He Cuiwei・Hayao Miyagi・Shiro Tamaki(Univ. of the Ryukyus) SAT2012-58 |
| 抄録 |
(和) |
(まだ登録されていません) |
| (英) |
In this paper we explore the properties of a set of news published after a natural disaster by using SOM (Self-organizing Maps), mainly the semantic characteristics of the generated map. SOM is used to produce a low-dimensional representation of the input data space by mapping high dimensional vectors into a 2-dimensional grid. Our SOM is composed by fewer units than input vectors; training stage produces not only a visual representation but also a set of quantization points that can be considered as groups of highly related news. In order to get semantic descriptions about map organization, news context is interpreted as a set of most frequent words that gives an idea of their “meanings”. The meanings obtained forms areas that divide the map, showing automatically the semantic relation of the inputs.
Firstly, online news are converted to text files and encoded as numerical vectors by applying principal component analysis (PCA). Secondly, a SOM is developed and trained. Finally, semantic descriptions are obtained for each quantization point by interpreting the news contexts. |
| キーワード |
(和) |
/ / / / / / / |
| (英) |
artificial intelligence / self organizing map / neural network / data mining / clustering / Kohonen network / semantic network / pca |
| 文献情報 |
信学技報, vol. 112, no. 440, SAT2012-58, pp. 67-71, 2013年2月. |
| 資料番号 |
SAT2012-58 |
| 発行日 |
2013-02-14 (SAT) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| PDFダウンロード |
SAT2012-58 |