1. An information classification system that classifies information by assigning a classification identification value to the information, comprising: a computer system, including: a knowledge base that receives classification information to be classified as a word string, conducts language analysis of the classification information to acquire a plurality of keywords that the classification information includes and classify the plurality of keywords into elements made up of a classification target word and a related word that modifies the classification target word, and conducts a search with the related word being for a judgment condition for decision of the classification while separating the classification target word from the related word, so as to assign the classification identification value to the information; a classification candidate extraction section that extracts the classification identification value that the knowledge base assigns to generate an automatic classification result; and a classification update section that receives the automatic classification result, displays a GUI for classification confirmation allowing confirmation of correctness of the automatic classification result, and corrects registered items in the knowledge base with a correction value received through the GUI for classification confirmation while referring to log data that is a processing history about automatic classification for the language analysis and the element classification; wherein the knowledge base comprises: a language analysis section that extracts a plurality of keywords from the classification information while referring to a word dictionary database; and a language element classification section that classifies the extracted plurality of keywords into the classification target word and the related word that modifies the classification target word by referring to a classification database and when a binary condition is registered for the classification target word, prioritizes a judgment based on the binary condition.
1. An information classification system that classifies information by assigning a classification identification value to the information, comprising: a computer system, including: a knowledge base that receives classification information to be classified as a word string, conducts language analysis of the classification information to acquire a plurality of keywords that the classification information includes and classify the plurality of keywords into elements made up of a classification target word and a related word that modifies the classification target word, and conducts a search with the related word being for a judgment condition for decision of the classification while separating the classification target word from the related word, so as to assign the classification identification value to the information; a classification candidate extraction section that extracts the classification identification value that the knowledge base assigns to generate an automatic classification result; and a classification update section that receives the automatic classification result, displays a GUI for classification confirmation allowing confirmation of correctness of the automatic classification result, and corrects registered items in the knowledge base with a correction value received through the GUI for classification confirmation while referring to log data that is a processing history about automatic classification for the language analysis and the element classification; wherein the knowledge base comprises: a language analysis section that extracts a plurality of keywords from the classification information while referring to a word dictionary database; and a language element classification section that classifies the extracted plurality of keywords into the classification target word and the related word that modifies the classification target word by referring to a classification database and when a binary condition is registered for the classification target word, prioritizes a judgment based on the binary condition. 2. The information classification system according to claim 1 , wherein the word dictionary database includes a morpheme keyword, an expression instability keyword, and a higher/lower level concept keyword registered therein, and the classification database includes a main classification table, an auxiliary classification table, and a binary condition table registered therein, the main classification table associating the classification target word with the classification identification value, the auxiliary classification table associating the related word that modifies the classification target word with a semantic attribute, and the binary condition table associating a binary condition set for the classification identification value about the classification target word with a judgment result using the binary condition.