| 講演名 | 2013-02-22 Semantic Self-Organizing Map for Natural Disasters News , |
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| PDFダウンロードページ |  PDFダウンロードページへ |
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| 抄録(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. |
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| キーワード(英) | artificial intelligence / neural networks / self / organizing map / Kohonen networks / data mining / clustering / principal component analysis / semantic network |
| 資料番号 | SAT2012-58 |
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| 研究会 | SAT |
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| 開催期間 | 2013/2/14(から1日開催) |
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| 申込み研究会 | Satellite Telecommunications (SAT) |
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| 本文の言語 | ENG |
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| タイトル（英） | Semantic Self-Organizing Map for Natural Disasters News |
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| キーワード(1)（和/英） | / artificial intelligence |
| 第 1 著者 氏名（和/英） | / Carlos Enrique Gutierrez |
| 第 1 著者 所属（和/英） | Graduate School of Engineering and Science. Department of Information Engineering. University of the Ryukyus. |
| 発表年月日 | 2013-02-22 |
| 資料番号 | SAT2012-58 |
| 巻番号（vol） | vol.112 |
| 号番号（no） | 440 |
| ページ範囲 | pp.- |
| ページ数 | 5 |
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