4. 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 corresponding sum for word frequency vectors in the plurality of classes that are associated with each of the multiple words; and classifying the text into a class corresponding to a highest sum.
4. 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 corresponding sum for word frequency vectors in the plurality of classes that are associated with each of the multiple words; and classifying the text into a class corresponding to a highest sum. 5. The method as recited in claim 4 , further comprising: deleting at least some of the multiple words that are used to determine the sums of the word vectors after classifying the text into the class.