19. A method for identifying propaganda, comprising the steps of: tokenizing each document in a source dataset; generating a term-by-document matrix; applying weights to the term-by-document matrix to generate a weighted term-by-document matrix; performing a matrix multiplication of the translation matrix and the term-by-document matrix to generate a multilingualized weighted matrix; factorizing the multilingualized weighted term-by-document matrix to generate an ordered list of topics and a topic-by-document matrix; and generating output so as to transform the dataset into useful actionable information enabling identification of documents or groups of documents that merit closer scrutiny; wherein the tokenization, generating of a matrix, applying weights, matrix multiplication, factorizing, calculating, and generating of output are performed regardless of the number, type, or size of documents, regardless of the number or type of terms associated with each document, and regardless of the provenance of the dataset.
19. A method for identifying propaganda, comprising the steps of: tokenizing each document in a source dataset; generating a term-by-document matrix; applying weights to the term-by-document matrix to generate a weighted term-by-document matrix; performing a matrix multiplication of the translation matrix and the term-by-document matrix to generate a multilingualized weighted matrix; factorizing the multilingualized weighted term-by-document matrix to generate an ordered list of topics and a topic-by-document matrix; and generating output so as to transform the dataset into useful actionable information enabling identification of documents or groups of documents that merit closer scrutiny; wherein the tokenization, generating of a matrix, applying weights, matrix multiplication, factorizing, calculating, and generating of output are performed regardless of the number, type, or size of documents, regardless of the number or type of terms associated with each document, and regardless of the provenance of the dataset. 20. The method for identifying propaganda of claim 19 , further providing instructions that, when executed by a computer, will cause the computer to perform further operations, comprising: extracting features of each document in a financial dataset; generating a term-by-document matrix; applying weights to the term-by-document matrix to generate a weighted term-by-document matrix; factorizing the weighted term-by-document matrix; generating output enabling propaganda or indicators of national interests to be identified.