Abstract: In one embodiment, a device in a network classifies Internet content data using one or more classifiers to identify a plurality of content classes for the content data. Each content class has a corresponding classification score based on the classification. The device determines whether any of the classification scores exceed a threshold level. The device identifies a set of content groups, where each of the plurality of content classes is associated with one of the content groups. The device associates the content data with a selected one of the content groups based on a determination that the classification scores for the plurality of content classes do not exceed the threshold level.

Abstract: In one embodiment, a device in a network classifies Internet content data using one or more classifiers to identify a plurality of content classes for the content data. Each content class has a corresponding classification score based on the classification. The device determines whether any of the classification scores exceed a threshold level. The device identifies a set of content groups, where each of the plurality of content classes is associated with one of the content groups. The device associates the content data with a selected one of the content groups based on a determination that the classification scores for the plurality of content classes do not exceed the threshold level.

Abstract: According to one aspect, a method of assessing typicality of a first name that includes a plurality of characters includes obtaining the first name, determining at least a first N-gram size, and extracting a first plurality of N-grams of the first N-gram size from the first name. The first plurality of N-grams is analyzed with respect to a model. Analyzing the first plurality of N-grams with respect to the model includes obtaining a first score. Finally, the method includes determining whether the first score indicates that the first name is typical.

Abstract: According to one aspect, a method for categorizing at least one image includes obtaining the at least one image and mapping the at least one image to at least a first grid. The first grid is a two-dimensional grid that includes a plurality of cells. The method also includes characterizing the first grid, wherein categorizing the first grid includes determining whether the first grid is indicative of an offensive characteristic, and identifying the at least one image as offensive when it is determined that the first grid is indicative of the offensive characteristic. When it is determined that the first grid is not indicative of the offensive characteristic, the at least one image is identified as not offensive.

Abstract: According to one aspect, a method for categorizing at least one image includes obtaining the at least one image and mapping the at least one image to at least a first grid. The first grid is a two-dimensional grid that includes a plurality of cells. The method also includes characterizing the first grid, wherein categorizing the first grid includes determining whether the first grid is indicative of an offensive characteristic, and identifying the at least one image as offensive when it is determined that the first grid is indicative of the offensive characteristic. When it is determined that the first grid is not indicative of the offensive characteristic, the at least one image is identified as not offensive.

Abstract: According to one aspect, a method of assessing typicality of a first name that includes a plurality of characters includes obtaining the first name, determining at least a first N-gram size, and extracting a first plurality of N-grams of the first N-gram size from the first name. The first plurality of N-grams is analyzed with respect to a model. Analyzing the first plurality of N-grams with respect to the model includes obtaining a first score. Finally, the method includes determining whether the first score indicates that the first name is typical.

Abstract: According to one aspect, a method for categorizing at least one image includes obtaining the at least one image and mapping the at least one image to at least a first grid. The first grid is a two-dimensional grid that includes a plurality of cells. The method also includes characterizing the first grid, wherein categorizing the first grid includes determining whether the first grid is indicative of an offensive characteristic, and identifying the at least one image as offensive when it is determined that the first grid is indicative of the offensive characteristic. When it is determined that the first grid is not indicative of the offensive characteristic, the at least one image is identified as not offensive.