Patent Document ID: 8478054
Application ID: 12996579

Base Claim:
1. A computer-implemented method for text classification comprising: segmenting content of a text into multiple words; determining a sum of a plurality of word vectors of an individual word of the multiple words at a first level vector space of a vector space group that includes a plurality of vector spaces, at least one of the plurality of vector spaces comprising one or more direct child classes that are non-leaf child classes in a tree class structure, the first level vector space having a plurality of classes, an individual word vector of the plurality word vectors including word frequency vectors of a corresponding word of the multiple words at multiple classes of the vector space; and classifying the text into a class of the plurality of classes that has a shortest distance to the sum of the plurality of word vectors of the word vectors.

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Claim 3:
3. The method as recited in claim 1 , further comprising: prior to determining the sum of the word vectors of the multiple words at the first level vector space of the vector space group, filtering the multiple words to obtain multiple filtered words.