کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9653616 | 679206 | 2005 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Tree view self-organisation of web content
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Tree view self-organisation of web content Tree view self-organisation of web content](/preview/png/9653616.png)
چکیده انگلیسی
When browsing a large set of unstructured documents, it is advantageous if the documents have been organised and presented in a way that makes navigation efficient, understanding underlying concepts easy and locating related information quickly. This paper proposes a new method termed Treeview self-organising maps (Treeview SOMs) for clustering and organising text documents by means of a series of independently and automatically created, hierarchical one-dimensional SOMs. The method generates a topological taxonomy tree for a set of unstructured text documents in terms of presentation and visualisation. The documents are organised in a hierarchy of dynamically generated and automatically validated topics extracted from the corpus of the documents. The results presented in a labelled tree view, clearly show underlying contents of the documents and can help browsing the document set more efficiently than those of previous work using SOMs or hierarchical clustering methods. A brief overview on general document clustering and a review on SOM-based document analysis methods are also provided together with a comparison among them.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 63, January 2005, Pages 415-446
Journal: Neurocomputing - Volume 63, January 2005, Pages 415-446
نویسندگان
Richard T. Freeman, Hujun Yin,