System and method for providing argument maps based on activity in a network environment
First Claim
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1. A computer-implemented method for a network sensor configured to interface with memory and processor, 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.
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Abstract
A method is provided in one example and includes 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; and generating an argument map based on the first data sentiment and the second data sentiment.
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Citations
20 Claims
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1. A computer-implemented method for a network sensor configured to interface with memory and processor, comprising:
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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. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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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:
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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. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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15. An apparatus, comprising:
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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. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification