—It becomes an interesting research topic to detect trend in the Internet era, where millions of data are posted online everyday. As social media, for example, blogs, forums, and...
Due to its open characteristic, the Web is being posted with vast amount of new information changes continuously. Consequently, at any time, it is conceivable that there will be h...
Videos from distributed sources (e.g., broadcasts, podcasts, blogs, etc.) have grown exponentially. Topic threading is very useful for organizing such large-volume information sou...
In many cases, rather than a keyword search, people intend to see what is going on through the Internet. Then the integrated comprehensive information on news topics is necessary,...
We propose a new unsupervised method for topic detection that automatically identifies the different facets of an event. We use pointwise Kullback-Leibler divergence along with th...