Abstract: Computationally implemented methods and systems include capturing a scene that includes one or more images, through use of an array of more than one image sensor, selecting a particular portion of the scene that includes at least one image, wherein the selected particular portion is smaller than the scene, transmitting only the selected particular portion from the scene to a remote location, and de-emphasizing pixels from the scene that are not part of the selected particular portion of the scene. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include accepting a submission of a particular document that includes at least one particular lexical unit, facilitating acquisition of document modification data that includes data configured to be used to determine a modification to the particular document, and receiving an updated document in which at least a portion of at least one occurrence of the at least one particular lexical unit has been replaced with at least a portion of an acquired replacement lexical unit that is at least partly based on the document modification data. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include selecting a target portion of a source document, presenting a representation of the target portion of the source document to a client, accepting input from the client that is configured to separate the target portion of the source document into a set of one or more designated lexical units, receiving association input from the client, said association input configured to associate at least one designated lexical unit with a further portion of the source document that is different than the target portion, and providing an output structure that represents the set of one or more designated lexical units. 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.

Abstract: A method substantially as shown and described the detailed description and/or drawings and/or elsewhere herein. A device substantially as shown and described the detailed description and/or drawings and/or elsewhere herein.

Abstract: Computationally implemented methods and systems include acquiring a message that is configured to be submitted to a network for publication, performing 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 transmitting the objective message prediction to a destination device, wherein the objective message prediction is configured to be presented on the destination device prior to submission of the acquired message to the network. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a document that includes at least one particular lexical unit, acquiring potential readership data that includes data about a potential readership for the received document, and selecting at least one replacement lexical unit that is configured to replace at least a portion of the at least one particular lexical unit, wherein selection of the at least one replacement lexical unit is at least partly based on the acquired potential readership data. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include receiving a document that includes at least one particular lexical unit, acquiring potential readership data that includes data about a potential readership for the received document, and selecting at least one replacement lexical unit that is configured to replace at least a portion of the at least one particular lexical unit, wherein selection of the at least one replacement lexical unit is at least partly based on the acquired potential readership data. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include selecting a target portion of a source document, presenting a representation of the target portion of the source document to a client, accepting input from the client that is configured to separate the target portion of the source document into a set of one or more designated lexical units, receiving association input from the client, said association input configured to associate at least one designated lexical unit with a further portion of the source document that is different than the target portion, and providing an output structure that represents the set of one or more designated lexical units. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include accepting a submission of a particular document that includes at least one particular lexical unit, facilitating acquisition of document modification data that includes data configured to be used to determine a modification to the particular document, and receiving an updated document in which at least a portion of at least one occurrence of the at least one particular lexical unit has been replaced with at least a portion of an acquired replacement lexical unit that is at least partly based on the document modification data. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring a message that is configured to be submitted to a network for publication, performing 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 transmitting the objective message prediction to a destination device, wherein the objective message prediction is configured to be presented on the destination device prior to submission of the acquired message to the network. 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.

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 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.