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The ever-increasing user generated digital data available through the Internet has become an important source of information for individuals, organizations and government agencies. And yet, for users to fully discover and utilize those information remains a complex tasks. Existing popular information access models based on keyword and/or facet searches become less effective in providing access to...
Topic description is as important as topic detection. In this paper, we propose a novel method to describe Web topics with topic words. Under the assumption that representative words exist in important sentences and have high probability of occurrence with other representative words, two graphs are built, one of which represents the relationship for sentences, the other for words. Considering a topic...
Usually a meaningful Web topic has tens of thousands of comments, especially the hot topics. It is valuable if we congregate the comments into clusters and find out the mainstreams. However, such analysis has two difficulties. First, there is no explicit link relationship between Web comments just like those among Web pages or Blog comments. The other problem is, most of the comments are very short,...
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