Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Aspects of the disclosure relate to machine learning based analysis of electronic communications. A computing platform may monitor receipt of a potentially unacceptable electronic communication by a user. Then, the computing platform may extract one or more attributes of the potentially unacceptable electronic communication. The computing platform may then perform, based on the one or more attributes, textual analysis of the potentially unacceptable electronic communication. Subsequently, the computing platform may retrieve one or more rules applicable to the potentially unacceptable electronic communication. Then, the computing platform may determine, based on the textual analysis and the one or more rules, and based on a repository of previously identified unacceptable content, whether the potentially unacceptable electronic communication is unacceptable.

Abstract: Methods, devices, and non-transitory storage media to receive ticket information of a ticket that indicates a problem in providing a service to a customer; receive event information that indicates an action performed by at least one of a device or a person to resolve the ticket; select a filter, among multiple filters, to filter the event information based on the action indicated in the event information; select a criteria rule, from among multiple criteria rules, based on filtered event information and parameters included in the criteria rule, wherein each criteria rule includes parameters and values for each parameter; select an output result rule, from among multiple output result rules, that maps to the criteria rule; generate a message that provides an update to a status of the ticket based on the filtered event information and the output result rule; and transmit the message to the customer.

Abstract: A system may include a database configured to selectively store and retrieve data. The system may further include a call record parser configured to receive a plurality of call records, each call record being associated with a respective call, parse the plurality of call records to identify periods of resource usage and types of resource usage for the associated calls, create parsed data based on the identified periods of resource usage and the types of resource usage, and store the parsed data in the database indexed according to the type of the identified resource and including the start and end times for the identified periods of usage.

Abstract: A system may include a database configured to selectively store and retrieve data. The system may further include a call record parser configured to receive a plurality of call records, each call record being associated with a respective call, parse the plurality of call records to identify periods of resource usage and types of resource usage for the associated calls, create parsed data based on the identified periods of resource usage and the types of resource usage, and store the parsed data in the database indexed according to the type of the identified resource and including the start and end times for the identified periods of usage.