Abstract:
Computationally implemented methods and systems include acquiring a document corpus that includes one or more outcome-linked documents, wherein the one or more outcome-linked documents are linked to an objective outcome, generating relation data that corresponds to data about one or more characteristics of the document corpus, and transmitting the generated relation data, wherein the generated relation data is configured to be used by an automated document analysis component to analyze a target document that has a characteristic in common with at least one of the one or more outcome-linked documents. In addition to the foregoing, other aspects are described in the claims, drawings, and text.
Abstract:
Computationally implemented methods and systems include receiving input of a message that is configured to be submitted to a network for publication, facilitating performance of text-based analysis on the acquired message to determine an objective message prediction, wherein the text-based analysis is at least partially based on a corpus of one or more related texts, and acquiring the determined objective message prediction. In addition to the foregoing, other aspects are described in the claims, drawings, and text.
Abstract:
Computationally implemented methods and systems include acquiring a document corpus that includes one or more outcome-linked documents, wherein the one or more outcome-linked documents are linked to an objective outcome, generating relation data that corresponds to data about one or more characteristics of the document corpus, and transmitting the generated relation data, wherein the generated relation data is configured to be used by an automated document analysis component to analyze a target document that has a characteristic in common with at least one of the one or more outcome-linked documents. In addition to the foregoing, other aspects are described in the claims, drawings, and text.