A Trend Discovery System for Dynamic Web Content Mining

摘要: The rapid expansion of the web is causing constant growth information, leading to several problems such as an increased difficulty extracting potentially useful knowledge. Web content mining confronts this problem gathering explicit information from different sites for its access and knowledge discovery. Its current methods focus on analyzing static cannot deal with constantly changing sites, news sites. In paper, we propose a method online This applies dynamic schemes exploring these reports, uses domain independent statistical analysis trend analysis. overall application that goes beyond straightforward analysis, trying understand society interests measure social importance ongoing events.