12. A method for utilizing semantic analysis to set a processing level of a processor processing measurements of affective response, comprising: receiving a first indication derived from an evaluation comprising semantic analysis of a first segment of content; wherein the first segment comprises data representing text; determining that the first indication indicates that a first value related to a prediction of emotional response to the first segment does not reach a first predetermined threshold, and configuring a processor to operate at a first processing level to process measurements of affective response of a user to the first segment; receiving a second indication derived from an evaluation comprising semantic analysis of a second segment of content; wherein the second segment comprises data representing text; and determining that the second indication indicates that a second value related to a prediction of emotional response to the second segment reaches a second predetermined threshold, and configuring the processor to operate at a second processing level to process measurements of affective response of the user to the second segment; wherein, per volume unit of measurement data, the number of computation cycles utilized by the processor to process, at the first processing level, the measurements of the affective response of the user to the first segment, is at least 50% lower than the number of computation cycles utilized by the processor to process, at the second processing level, the measurements of the affective response of the user to the second segment.
12. A method for utilizing semantic analysis to set a processing level of a processor processing measurements of affective response, comprising: receiving a first indication derived from an evaluation comprising semantic analysis of a first segment of content; wherein the first segment comprises data representing text; determining that the first indication indicates that a first value related to a prediction of emotional response to the first segment does not reach a first predetermined threshold, and configuring a processor to operate at a first processing level to process measurements of affective response of a user to the first segment; receiving a second indication derived from an evaluation comprising semantic analysis of a second segment of content; wherein the second segment comprises data representing text; and determining that the second indication indicates that a second value related to a prediction of emotional response to the second segment reaches a second predetermined threshold, and configuring the processor to operate at a second processing level to process measurements of affective response of the user to the second segment; wherein, per volume unit of measurement data, the number of computation cycles utilized by the processor to process, at the first processing level, the measurements of the affective response of the user to the first segment, is at least 50% lower than the number of computation cycles utilized by the processor to process, at the second processing level, the measurements of the affective response of the user to the second segment. 14. The method of claim 12 , further comprising utilizing, for the evaluation comprising semantic analysis of the first and second segments, Latent Semantic Analysis in order to associate each of the first and second segments of content with a likely subject.