Patent ID: 7024407

Claim:
In a collection of n documents and a reference collection, each document containing terms, the reference collection containing at least one meaning associated with a term, the total number of terms occurring at least once in the document collection equal to at least m, a computer-implemented method for determining a meaning for a sense of a subject term, the subject term found in at least one document and associated with at least one meaning, the computer-implemented method comprising: forming an m by n matrix, where each matrix element (i, j) corresponds to the number of occurrences of term i in document j; performing singular value decomposition and dimensionality reduction on the matrix to form a latent semantic indexed vector space; determining at least one cluster of documents within the vector space, each cluster corresponding to a subset of the document collection, each member of the subset having at least one occurrence of a subject term; discerning an implicit position of a sense of the subject term, each implicit position corresponding to at least one determined cluster; discerning at least one non-subject term within the vicinity of the implicit position of the sense; and assigning to the sense having a discerned implicit position, the meaning, associated with the term in the reference collection, that correlates best with the discerned non-subject terms closest to the implicit position of the sense.