Content Extraction from News Pages Using Particle Swarm Optimization
作者： Cai-Nicolas Ziegler , Michal Skubacz
DOI: 10.1007/978-3-642-27714-6_8
关键词:
摘要: Today’s Web pages are commonly made up of more than merely one cohesive block information. For instance, news from popular media channels such as Financial Times or Washington Post consist no 30%-50% textual news, next to advertisements, link lists related articles, disclaimer information, and so forth.
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