Very Large Two-Level SOM for the Browsing of Newsgroups
نویسندگان
چکیده
On January 19, 1996 we published in the Internet a demo of how to use Self-Organizing Maps (SOMs) for the organization of large collections of full-text les. Later we added other newsgroups to the demo. It can be found at the address http://websom.hut../websom/. In the present paper we describe the main features of this system, called the WEBSOM, as well as some newer developments of it.
منابع مشابه
Document Clustering and Visualization with Latent Dirichlet Allocation and Self-Organizing Maps
Clustering and visualization of large text document collections aids in browsing, navigation, and information retrieval. We present a document clustering and visualization method based on Latent Dirichlet Allocation and self-organizing maps (LDA-SOM). LDA-SOM clusters documents based on topical content and renders clusters in an intuitive twodimensional format. Document topics are inferred usin...
متن کاملApplication of Self-Organizing Maps to Classification and Browsing of FAQ E-mails
Widespread use of computer and Internet leads to an abundant supply of information, so that many services for facilitating fluent utilization of the information have appeared. However, many computer users are not so familiar with such services that they need assistant systems to use the services easily. In the case of Internet portal services, users’ e-mail questions are answered by operator, b...
متن کاملSelf-organizing map based web pages clustering using web logs
A Web-based business always wants to have the ability to track users’ browsing behavior history. This ability can be achieved by using Web log mining technologies. In this paper, we introduce a Self-Organizing Map (SOM) based approach to mining Web log data. The SOM network maps the web pages into a two-dimensional map based on the users’ browsing history. Web pages with the similar browsing pa...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کاملGait Based Vertical Ground Reaction Force Analysis for Parkinson’s Disease Diagnosis Using Self Organizing Map
The aim of this work is to use Self Organizing Map (SOM) for clustering of locomotion kinetic characteristics in normal and Parkinson’s disease. The classification and analysis of the kinematic characteristics of human locomotion has been greatly increased by the use of artificial neural networks in recent years. The proposed methodology aims at overcoming the constraints of traditional analysi...
متن کامل