Year: 2015
Type: article
Abstract: A semantic block is treated as a unit while analyzing the webpage.First, we implement the VTPS algorithm to partition a webpage into semantic blocks.Then, we propose an algorithm to extract the spatial and content features, and then construct the feature vector for each block.Based on these vectors, the SVM learning algorithm is applied to train and classify the various theme-oriented webpage blocks.At last, the classification experiments show the efficiency of this method.
Authors: Fang Lv, Junheng Huang, Yuliang Wei, Bailing Wang
Institution: Harbin Institute of Technology
Language: English
Topic: Web Data Mining and Analysis
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Awards: 网络隐藏服务识别理论方法及关键技术研究, 社交网络信息传播与演化机理研究
OpenAlex ID: W2183189372