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 6:
6. The method as recited in claim 1 , wherein classifying the text into the class that has the shortest distance to the sum of the word vectors comprises: determining a difference value between a highest word frequency vector and a lowest word frequency vector among the word frequency vectors for each of the multiple words at the plurality of classes; determining a sum of the corresponding word frequency vectors for each of the multiple words with a corresponding difference value that is higher than a pre-defined filtering threshold; and classifying the text into a class of the plurality of classes that is associated with a sum of the corresponding word frequency vectors that has the highest value.