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The ensemble application of the mind-state indicator (MSI) and intention awareness (IA) methodologies in linguistic metaphors offers insights on how the brain finds meaning in abstract expressions. In particular, IA and MSI are jointly exploited to provide concepts for sentic computing that can catalogue and analogically map ideas similar to that of the human brain. Since metaphors convey similarities, using analogical metaphors yields sources and targets from which conceptual meanings can be derived. Sources relate to external experiences, while targets relate to mood states, or states of mind. Understanding such states of mind is crucial in identifying, examining, and mapping phrases. While targets reflect state of mind, IA is the key to the individual's actual state of mind. Computing metaphor targets and target moods and filtering semantic and sentic patterns of metaphors based on IA make it possible to associate a target with a source and, hence, perform analogically mapping. © 2013 IEEE.

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