Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, user-data communications between a client-specific endpoint device and the other participating endpoint device during a first time period can be retrieved from a plurality of interconnected data communications systems. The client entity can be configured and arranged to interface with a data communications server providing data communications services on a subscription basis. A context can be determined for each respective user-data communication between the endpoint devices during the first time period. A plurality of user-data communications between the client-specific endpoint device and the other participating endpoint device can be aggregated during a second time period, and a context can be determined for the aggregated user-data communications during the second time period based on a comparison of the aggregated user-data communications and the user-data communications during the first time period.

A disclosed apparatus obtains emergency data for multiple device types from a plurality of emergency data sources and provides a jurisdictional map view to a plurality of emergency network entities, where each emergency network entity corresponds to a given geographic boundary. The jurisdictional map view corresponds to a respective emergency network entity's geographic boundary. The apparatus determines portions of the emergency data corresponding to emergencies occurring within each respective emergency network entity geographic boundary, and provides location indicators within each respective jurisdictional map view, with each location indicator corresponding to an emergency.

A computer mediated communication system includes a plurality of communication devices, a wireless transceiver, a computer system configured to wirelessly communicate with the communication devices via the wireless transceiver and mediate communications among the communication devices. The computer system includes a memory coupled with a processor. The processor parses, in response to an initiator providing an ambiguous input to the computer mediated communication system requesting a communication interaction, the processor: parses the ambiguous input for information about a desired target of the communication interaction; matches the information about the desired target against maintained target data to select a list of potential targets; computes likelihoods the potential targets of being the desired target; ranks the potential targets based on their respective likelihoods of being the desired target; and disambiguates the ambiguous input by communicatively coupling the initiator with at least one of the potential targets based on the ranking.

A recording of a call is authenticated using a distributed transaction ledger. A call between two or more participants is recorded to generate a call recording. A record of the call recording is stored within a distributed transaction ledger. At a later time, such as in response to an access request for auditing or an authentication request, the call recording is authenticated based on information associated with the record within the distributed transaction ledger. An indication of the authentication is then output, such as for further processing or display.

A communication system for processing a call includes control logic and at least one machine learning model generating call classifiers from outputs of an audio signal processor and a natural language processor operated on the call. Heuristic logic transforms the call classifiers into weighted sub-metrics for the call, and aggregate normalized Gaussian logic transforms the weighted sub-metrics into a metric control that may be applied as a feedback signal to adapt the operation of the control logic. The control logic in turn may adapt the behavior of an agent, automated voice attendant, or a template utilized in a call flow. The system includes a scorecard interface operable to select a target and an indication of the metric control to apply for the target, and to apply the metric control to generate and display a historical performance visualization and a performance feed of the metric for the target.

A method for summarizing dialogs may include obtaining an agent text stream and a customer text stream, segmenting the agent text stream and customer text stream into sentences, and labeling sentences associated with the segmented agent text stream and the segmented customer text stream. The method may further include extracting sentences from the agent text stream and the customer text stream based upon frequencies of appearance of words and terms of interest; generating an agent summary paragraph based on the extracted sentences from the agent text stream, and generating a customer summary paragraph based on the extracted sentences from the customer text stream. The method may identify keywords associated with each of the agent summary paragraph and the customer summary paragraph.

A disclosed apparatus obtains emergency data for multiple device types from a plurality of emergency data sources and provides a jurisdictional map view to a plurality of emergency network entities, where each emergency network entity corresponds to a given geographic boundary. The jurisdictional map view corresponds to a respective emergency network entity's geographic boundary. The apparatus determines portions of the emergency data corresponding to emergencies occurring within each respective emergency network entity geographic boundary, and provides location indicators within each respective jurisdictional map view, with each location indicator corresponding to an emergency.

Customer relationship management (“CRM”) implemented in a computer system, including parsing a word, from call notes of a conversation between a tele-agent of a call center and a customer representative, into a parsed triple of a description logic; determining whether the parsed triple is recorded in a semantic CRM triple store of the computer system; if the parsed triple is not recorded in the semantic CRM triple store, recording the parsed triple as a call note in the semantic CRM triple store.

Systems and methods for creating a network communication pathway between devices based on type of communication request are disclosed. The system obtains a communication object from a first device to enable communication with a second device. The first device may be a device within an affinity group of the second device, such that the system identifies historic data relating to the affinity group and/or relating to communication attempts from non-subscriber devices found in one or more affinity groups stored within the system. Based on the communication object type, the system identifies whether communication object relates to a question object previously received from the second device and calculates an Expert Attribute Score (EAS) for the first device. The system may evaluate the EAS against a predetermined threshold and transmit the communication object to the second device, if the EAS is greater than or equal to the predetermined threshold.

A communication system for processing a call includes control logic and at least one machine learning model generating call classifiers from outputs of an audio signal processor and a natural language processor operated on the call. Heuristic logic transforms the call classifiers into weighted sub-metrics for the call, and aggregate normalized Gaussian logic transforms the weighted sub-metrics into a metric control that may be applied as a feedback signal to adapt the operation of the control logic. The control logic in turn may adapt the behavior of an agent, automated voice attendant, or a template utilized in a call flow.