Automatic document classification via content analysis at storage time

A file classification methodology, comprising:

• analyzing textual content contained within a file to determine an initial classification for the file, wherein the initial classification comprises one or more concept categories to which the file can be assigned;
• presenting the initial classification to a user;
• receiving, from the user, a modification to the initial classification, wherein the modification comprises user input selected from a group consisting of (a) a removal from the initial classification of a particular one of the one or more concept categories, and (b) an addition to the initial classification of a new concept category;
• and
• assigning, to the file, a modified classification based on the modification to the initial classification.

A file classification system, comprising a memory device and a processor that is operatively coupled to the memory device, wherein the processor is configured to execute instructions stored in the memory device that, when executed, cause the processor to carry out a file classification process that comprises:

• in response to receiving, from a first user, a storage request for a file, extracting textual content of the file, analyzing the extracted textual content to determine a concept category to which the file can be assigned, assigning corresponding tag information to the file, and storing the file in a file repository;
• receiving an access request from a second user that specifies query tag information;
• identifying files stored in the file repository that have been assigned tag information that corresponds to the query tag information;
• and
• displaying a listing of the identified stored files to the second user.