15. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory and the processor, wherein the apparatus is configured for: 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.
15. An apparatus, comprising: a memory element configured to store data; a processor operable to execute instructions associated with the data; a network sensor configured to interface with the memory and the processor, wherein the apparatus is configured for: 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. 19. The apparatus of claim 15 , wherein at least a portion of the network traffic includes video data from a video conference that is tagged.