Discussion model generation system and method
View Patent ↗A method, computer program product, and computing system for receiving an input text. The one or more portions of the input text may be tagged. A discussion model between a plurality of virtual speakers may be generated based upon, at least in part, the tagging of the one or more portions of the input text. The discussion model may be presented.
1. A computer-implemented method comprising:
receiving, at a computing device, an input text;
tagging one or more portions of the input text, wherein tagging the one or more portions of the input text includes tagging the one or more portions of the input text with one or more sentiment metrics based upon, at least in part, performing sentiment analysis on the one or more portions of the input text;
generating a discussion model between a plurality of virtual speakers based upon, at least in part, the tagging of the one or more portions of the input text; and
presenting the discussion model.
2. The computer-implemented method of claim 1 , further comprising:
receiving user participation while presenting the discussion model.
3. The computer-implemented method of claim 1 , wherein generating the discussion model includes adding one or more pre-defined phrases to the one or more portions of the input text based upon, at least in part, the one or more sentiment metrics.
4. The computer-implemented method of claim 3 , wherein the one or more pre-defined phrases are added to the one or more portions of the input text to at least one of start the discussion model, interrupt the discussion model, and end the discussion model.
5. The computer-implemented method of claim 3 , wherein the one or more pre-defined phrases include one or more of accordant, discordant, and neutral phrases.
6. The computer-implemented method of claim 1 , wherein generating the discussion model between the plurality of virtual speakers includes allocating the one or more portions of the input text between the plurality of virtual speakers.
7. A computer program product comprising a non-transitory computer readable storage medium having a plurality of instructions stored thereon, which, when executed by a processor, cause the processor to perform operations comprising:
receiving, at a computing device, an input text;
tagging one or more portions of the input text, wherein tagging the one or more portions of the input text includes tagging the one or more portions of the input text with one or more sentiment metrics based upon, at least in part, performing sentiment analysis on the one or more portions of the input text;
generating a discussion model between a plurality of virtual speakers based upon, at least in part, the tagging of the one or more portions of the input text; and
presenting the discussion model.
8. The computer program product of claim 7 , wherein generating the discussion model includes adding one or more pre-defined phrases to the one or more portions of the input text based upon, at least in part, the one or more sentiment metrics.
9. The computer program product of claim 8 , wherein the one or more pre-defined phrases are added to the one or more portions of the input text to at least one of start the discussion model, interrupt the discussion model, and end the discussion model.
10. The computer program product of claim 8 , wherein the one or more pre-defined phrases include one or more of accordant, discordant, and neutral phrases.
11. The computer program product of claim 7 , wherein generating the discussion model between the plurality of virtual speakers includes allocating the one or more portions of the input text between the plurality of virtual speakers.
12. The computer program product of claim 8 , further comprising:
receiving user participation while presenting the discussion model.
13. A computing system including one or more processors and one or more memories configured to perform operations comprising:
receiving, at a computing device, an input text;
tagging one or more portions of the input text, wherein tagging the one or more portions of the input text includes tagging the one or more portions of the input text with one or more sentiment metrics based upon, at least in part, performing sentiment analysis on the one or more portions of the input text;
generating a discussion model between a plurality of virtual speakers based upon, at least in part, the tagging of the one or more portions of the input text; and
presenting the discussion model.
14. The computing system of claim 13 , wherein generating the discussion model includes adding one or more pre-defined phrases to the one or more portions of the input text based upon, at least in part, the one or more sentiment metrics.
15. The computing system of claim 14 , wherein the one or more pre-defined phrases are added to the one or more portions of the input text to at least one of start the discussion model, interrupt the discussion model, and end the discussion model.
16. The computing system of claim 13 , wherein the one or more pre-defined phrases include one or more of accordant, discordant, and neutral phrases.
17. The computing system of claim 13 , wherein generating the discussion model between the plurality of virtual speakers includes allocating the one or more portions of the input text between the plurality of virtual speakers.