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Most web text clustering is based on the space vector text representation model. This results in a high dimension in the terms; and it leads to an increase in time complexity and a loss of text semantics due to the fact that the semantic relationship of the terms is not considered. In this paper, a new approach is taken where a concept lattice is generated with text treated as object and terms of...
In Web 2.0 applications, users always label digital images using textual descriptions, which are also called tags. As a result, a web image usually carries both tag and visual content information. In order to improve the retrieval performance of web images, in this paper, we propose an error-driven fusion co-clustering algorithm, which combines images' tags, visual contents together for analysis....
Since the emergence of BLOG, it not only represents a new network technology, but also means the beginning of a new life style. How to utilize and mine the BLOG content which contains hidden sentiment and real-time update is a big challenge in the data-mining domain. As most of the existing method for network text's topic mining is achieved through clustering text's topic and label which are labeled...
Document clustering as an unsupervised approach extensively used to navigate, filter, summarize and manage large collection of document repositories like the World Wide Web (WWW). Recently, focuses in this domain shifted from traditional vector based document similarity for clustering to suffix tree based document similarity, as it offers more semantic representation of the text present in the document...
Binary semantic relation extraction is particularly useful for various NLP and Web applications. Currently Web-based methods and Linguistic-based methods are two types of leading methods for semantic relation extraction task. With a novel view on integrating linguistic analysis on local text with Web frequent information, we propose a multi-view co-clustering approach for semantic relation extraction...
Generated by socialized identification on web pages, pictures, videos and etc by the mass Internet users, tag is an unique meta data comprised of words on Internet. As a new data resource, it offers a new way to produce, manage and obtain Internet information. This paper will try to explore and utilize the characteristics of tag, start from hierarchical tag relation definition, integrate the knowledge...
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