Even though the user number is increased, independently of the number of users a fast clipping function can be achieved which has steps of analyzing query expressions, storing (106) the numbers of query terms included in the query expressions in a term number count table, generating a finite automaton (110) for matching the terms occurring in text data with all terms included in the query expressions, generating a user identifier table (111) having stored therein the identifiers of users in association with the terms included in the query expressions, matching the terms (117) by scanning the text data by the finite automaton, calculating for each user the occurrence count of terms occurring in the text data as substrings coincident with the terms included in the query expressions reference is being made to the user identifier table, storing the calculated occurrence count in the term occurrence count region of the table, comparing the calculated term occurrence count of the table with the number of terms included the query expressions, and when a coincidence is found from the comparison, delivering (706) the text data to the user.
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