Patent Document ID: 8407233
Application ID: 11953769

Base Claim:
1. A method, using a processor, of calculating relevance among words based on a relevance of each word in a document, the method comprising: generating statistical information associated with relevance among words by calculating a crossing frequency of words associated with a number of times of each of cross-word being appeared in a document, an appearance frequency of a word, or a word-word combination frequency associated with an appearance and a non-appearance of a combination of a first word and a second word, wherein the appearance frequency is a number of times that a word appears and frequency information is generated based on one of the appearance frequency or the crossing frequency, or the word-word combination frequency to provide the statistical information, the calculation being performed by the processor according to word-word or word-document classification; standardizing the statistical information by applying a parameter to the calculated statistical information, wherein the standardizing the statistical information comprises generating a combination probability distribution of a random variable corresponding to a pair of words and standardizing the statistical information based on the word-word combination frequency, wherein the word-word combination frequency associated with the pair of words is a number of documents that include all words in the pair, a number of documents that do not include any word in the pair, and a number of documents that include one of the words in the pair, and wherein the random variable is defined in a point space of columns and rows that comprise appearance or non-appearance points of the word; determining, by the processor, the relevance among the words as a numerical value based on the standardization; and providing the numerical value associated with the relevance among words to a search system.

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Claim 8:
8. The method of claim 1 , wherein the standardizing the statistical information further comprises: setting, as a column of a real-number-typed random variable set, at least one of the words, the documents, the word classification, or the document classification; and setting, as a row of a real-number-typed random variable set, the word corresponding to a random variable, wherein the random variable comprises a real number value, and the random variable comprises, as a random variable value, a frequency value corresponding to the column and the row.