8. Logic encoded in one or more tangible non-transitory media that includes code executable by one or more processors, wherein the code causes the one or more processors to perform operation, comprising: receiving network traffic associated with a first user and a second user; evaluating keywords in the network traffic in order to identify a topic of discussion involving the first and the second users; determining a first sentiment associated with a first data segment associated with the first user; determining a second sentiment associated with a second data segment associated with the second user; deriving one or more statements from the network traffic; categorizing the one or more derived statements into argument map attributes, wherein the deriving and the categorizing comprise at least one activity selected from a group consisting of speech recognition, sentiment analysis and basic linguistic models; and generating an computer-automated argument map comprising the argument map attributes based on the first data sentiment and the second data sentiment, wherein the automated argument map comprises a visual representation of a structure of an argument in informal logic, wherein the argument map includes components of the argument, comprising main contentions, premises, co-premises, objections, rebuttals, and lemmas.
8. Logic encoded in one or more tangible non-transitory media that includes code executable by one or more processors, wherein the code causes the one or more processors to perform operation, comprising: receiving network traffic associated with a first user and a second user; evaluating keywords in the network traffic in order to identify a topic of discussion involving the first and the second users; determining a first sentiment associated with a first data segment associated with the first user; determining a second sentiment associated with a second data segment associated with the second user; deriving one or more statements from the network traffic; categorizing the one or more derived statements into argument map attributes, wherein the deriving and the categorizing comprise at least one activity selected from a group consisting of speech recognition, sentiment analysis and basic linguistic models; and generating an computer-automated argument map comprising the argument map attributes based on the first data sentiment and the second data sentiment, wherein the automated argument map comprises a visual representation of a structure of an argument in informal logic, wherein the argument map includes components of the argument, comprising main contentions, premises, co-premises, objections, rebuttals, and lemmas. 14. The logic of claim 8 , wherein email header information and signatures are removed before determining the first sentiment and the second sentiment.