11. A computer-implemented method of predicting whether character strings refer to a same subject matter, the method comprising: referencing in a database a first character string and a second character string that are included in a set of text documents; utilizing a processor to apply a prediction algorithm to each of the first character string and the second character string, the prediction algorithm being usable to quantify a likelihood that the first character string and the second character string refer to the same subject matter, (1) wherein the prediction algorithm is learned by a support vector machine based on an inner product that is determined using a mapping of a training set of data, and (2) wherein the mapping is based on a first kernel function comprising a mathematical combination of a first IDF of a character string included in the first character string, a second IDF of a character string included in the second character string, and a value quantifying a measure of similarity; and based on a prediction value, which is generated by applying the prediction algorithm to each of the first string of characters and the second string of characters, associating in the database the first character string with the second character string.
11. A computer-implemented method of predicting whether character strings refer to a same subject matter, the method comprising: referencing in a database a first character string and a second character string that are included in a set of text documents; utilizing a processor to apply a prediction algorithm to each of the first character string and the second character string, the prediction algorithm being usable to quantify a likelihood that the first character string and the second character string refer to the same subject matter, (1) wherein the prediction algorithm is learned by a support vector machine based on an inner product that is determined using a mapping of a training set of data, and (2) wherein the mapping is based on a first kernel function comprising a mathematical combination of a first IDF of a character string included in the first character string, a second IDF of a character string included in the second character string, and a value quantifying a measure of similarity; and based on a prediction value, which is generated by applying the prediction algorithm to each of the first string of characters and the second string of characters, associating in the database the first character string with the second character string. 15. The computer-implemented method of claim 11 , wherein when the prediction value is at least one of equal to and greater than zero, the first character string and the second character string are associated in the database as matches.