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Objectionable text content on the Web is harmful to young children. Although keyword-based methods are superior in achieving faster detection, they fail to detect text content that is semantically objectionable. A novel framework based on adaptive topic modeling is proposed to detect objectionable text content. Firstly, a weighted graph is constructed based on several seed words and a set of training...
Web 2.0 technologies have made it easily for Web users to create and spread objectionable text content, which has been shown harmful to Web users, especially young children. Although detection methods based on key word list are superior in achieving faster detection and lower memory consumption, they fail to detect text content that is objectionable in semantic description. A framework that can perfectly...
Objectionable Web text content becomes popular in many web sites on the Internet recently. Since it has been shown that the kind of text content is very harmful to young children, several measures have been taken to detect the objectionable text content. Unlike current methods, a scene-based method is proposed to recognize the objectionable text with aim at improving the performance, especially in...
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