A virtual cognitive agent (VCA) system comprises social media communication channels integrated with machine cognition engines. The VCA system connects to an external message platform and accesses posted messages. An intent is determined and sentiment analysis is performed on text elements from the intercepted messages to determine handling of the message. The integrated machine cognition engines determine a response to the captured message. The VCA system may access a corpus or exchange data with the originator of the post or another entity to determine the response. The integrated social media communication channels may connect to an external query response platform and communicate the response to the query response platform.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: in a hardware processing system comprising processing circuitry, memory and a communication interface: through the communication interface, connecting to a message communication platform external to the hardware processing system; and with the processing circuitry: training machine cognition engines with domain specific data; monitoring the message communication platform for a trigger; responsive to the trigger, capturing a message structure hosted in the message communication platform; determining an intent of a text element from the captured message structure; determining whether the text element matches a sentiment indicator; when the text element matches the sentiment indicator, transmitting the captured message structure to an exception handler; and when the text element does not match the sentiment indicator: executing the multiple machine cognition engines implemented in the hardware processing system to determine a query response characteristic of the text element and formulate a response to the captured message structure; and connecting to a query response platform external to the hardware processing system and communicating the response to the query response platform. 2. The method of claim 1, wherein the query response platform comprises a social media platform, a web portal, a mobile device portal, or any combination thereof. 3. The method of claim 1 where: transmitting the captured message structure to an exception handler comprises transmitting the captured message structure to a manual intervention system. 4. The method of claim 1, where the machine cognition engines comprises: a natural language understanding processing agent; a natural language question and answering agent; a dynamic logic agent; a user behavior analysis agent; a machine learning agent; a conversational agent that maintains context of a conversation with a user; a natural language generation agent, or any combination thereof. 5. The method of claim 1 further comprising: obtaining additional information for the machine cognition engines to formulate the response by automatically orchestrating a data exchange session with an external entity linked to the captured message structure. 6. The method of claim 1 further comprising: obtaining additional information for the machine cognition engines to formulate the response by accessing an electronically stored corpus of information comprising attributes and information associated with an external entity. 7. The method of claim 1 further comprising: storing characteristic information about an external entity linked to the captured message structure that is obtained from the captured message structure, data exchange sessions with the external entity linked to the captured message structure, and prior data inputs received from the external entity linked to the captured message structure during interaction with the exception handler; training the machine cognition engines to identify attributes of the external entity linked to the captured message structure responsive to the characteristic information; and applying the external entity linked to the captured message structure attributes via the machine cognition engines in formulating the response. 8. The method of claim 1, where the message communication platform is the same as the query response platform. 9. The method of claim 1, further comprising: identifying an external entity linked to the captured message structure; identifying a private communication channel for the external entity linked to the captured message structure; and communicating the response through the communication interface via the private communication channel. 10. A system comprising: a memory; a communication interface configured to connect to a message communication platform external to the system; and processing circuitry configured to: train multiple machine cognition engines with domain specific data; monitor the message communication platform for a trigger; responsive to the trigger, capture a message structure hosted in the message communication platform; determine an intent of a text element from the captured message structure; determine whether the text element matches a sentiment indicator; when the text element matches the sentiment indicator, transmit the captured message structure to an exception handler; and when the text element does not match the sentiment indicator: execute the multiple machine cognition engines implemented in the system to determine a query response characteristic of the text element and formulate a response to the captured message structure; and connect to a query response platform external to the hardware processing system and communicate the response to the query response platform. 11. The system of claim 10, wherein the query response platform comprises a social media platform, a web portal, a mobile device portal, or any combination thereof. 12. The system of claim 10 where: the transmission of the captured message structure to an exception handler comprises transmission of the captured message structure to a manual intervention system. 13. The system of claim 10, where the machine cognition engines comprises: a natural language understanding processing agent; a natural language question and answering agent; a dynamic logic agent; a user behavior analysis agent; a machine learning agent; a conversational agent that maintains context of a conversation with a user; a natural language generation agent, or any combination thereof. 14. The system of claim 10 where the processing circuitry is further configured to: obtain additional information for the machine cognition engines to formulate the response by automatically orchestrating a data exchange session with an external entity linked to the captured message structure. 15. The system of claim 10 where the processing circuitry is further configured to: obtain additional information for the machine cognition engines to formulate the response by accessing an electronically stored corpus of information comprising attributes and information associated with an external entity linked to the captured message structure. 16. The system of claim 10 where the processing circuitry is further configured to: store characteristic information about an external entity linked to the captured message structure that is obtained from: the captured message structure; data exchange sessions with the external entity linked to the captured message structure; and prior data inputs received from the external entity linked to the captured message structure during interaction with the exception handler; train the machine cognition engines to identify external entity linked to the captured message structure attributes responsive to the characteristic information; and apply the external entity linked to the captured message structure attributes via the machine cognition engines in formulating the response. 17. The system of claim 10, where the message communication platform is the same as the query response platform. 18. The system of claim 10, where the processing circuitry is further configured to: identify an external entity linked to the captured message structure; identify a private communication channel for the external entity linked to the captured message structure; and communicate the response through the communication interface via the private communication channel. 19. A system comprising: a memory; a communication interface configured to connect to a message communication platform external to the system, where the external platform comprises a social media platform, a web portal, a mobile device portal, an email server, or any combination thereof; and processing circuitry configured to: train multiple machine cognition engines with domain specific data; monitor the message communication platform for a trigger; responsive to the trigger, capture a message structure hosted in the message communication platform; determine an intent of a text element from the captured message structure; determine whether the text element matches a sentiment indicator; when the text element matches the sentiment indicator, transmit the captured message structure to manual intervention system; when the text element does not match the sentiment indicator: obtain and store characteristic information about an external entity linked to the captured message structure by: accessing an electronically stored corpus of information comprising attributes and information associated with the external entity linked to the captured message structure; automatically orchestrating a data exchange session with the external entity linked to the captured message structure; and accessing data inputs received from the external entity linked to the captured message structure during interaction with the manual intervention system; train the multiple machine cognition engines implemented in the system responsive to the characteristic information to identify attributes of the external entity linked to the captured message structure; execute the multiple machine cognition engines implemented in the system to determine a query response characteristic of the text element and apply the external entity attributes via the machine cognition engines to formulate a response to the captured message structure; and connect to a query response platform external to the hardware processing system and communicate the response to the query response platform, where the query response platform comprises a social media platform, a web portal, a mobile device portal, an email server, or any combination thereof. 20. The system of claim 19, where the machine cognition engines comprise: a natural language understanding processing agent; a natural language question and answering agent; a dynamic logic agent; a user behavior analysis agent; a machine learning agent; a conversational agent that maintains context of a conversation with a user; a natural language generation agent thereof.