Document object network model for extracting keywords from Web pages
Peng Hao · 2012
It is very hard to exactly extract keywords from hub Web pages because of its topic noise.A Document Object Network(DON)model and Keywords Extraction Algorithm Based on it(KEYDON)are proposed.The model DON clusters the topic society with the betweenness centrality and impact fraction of nodes in DON.Experiments show that the accuracy of proposed keywords extraction algorithm's performance based on DON has increased by 20% compared with the algorithm based on DocView model.