WEBSOM - Self-organizing maps of document collections
WEBSOM - Self-organizing maps of document collections
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DOI：
10.1016/s0925-2312(98)00039-3
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发表时间：
1998-11
期刊：
影响因子：
6
通讯作者：
Samuel Kaski;T. Honkela;K. Lagus;T. Kohonen
中科院分区：
文献类型：
--
作者：
Samuel Kaski;T. Honkela;K. Lagus;T. Kohonen
使用WEBSOM方法，可以将文本文档集合组织到图形地图显示上，该图形地图显示提供集合的概览并促进交互式浏览。感兴趣的文档可以使用内容导向搜索在地图上找到。每个文档被编码为由自组织映射（SOM）算法根据单词上下文的相似性形成的单词类别的直方图。编码后的文档被组织在另一个自组织地图上，即文档地图，在文档地图上，附近的位置包含类似的文档。特别考虑到非常大的文档地图的计算，这是可能的通用计算机，如果字类别直方图的维数是第一次减少与随机映射方法，如果计算效率高的算法被用于计算的SOM。
With the WEBSOM method a textual document collection may be organized onto a graphical map display that provides an overview of the collection and facilitates interactive browsing. Interesting documents can be located on the map using a content-directed search. Each document is encoded as a histogram of word categories which are formed by the self-organizing map (SOM) algorithm based on the similarities in the contexts of the words. The encoded documents are organized on another self-organizing map, a document map, on which nearby locations contain similar documents. Special consideration is given to the computation of very large document maps which is possible with general-purpose computers if the dimensionality of the word category histograms is first reduced with a random mapping method and if computationally efficient algorithms are used in computing the SOMs.