Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.

Abstract: A system that creates and automatically builds one or more entity models that are derived from communication-based information received over a network. Building the entity models uses machine learning, a user interface, a sentiment analyzer, a communication monitoring agent and an automated bot. Bots are created based on a bot template. New communication-based information is analyzed and processed to improve the entity model, to keep the bot up-to-date, and to update other services and products that the entity relies on. The system enables a business to cluster other entities together to assist in identifying competitors. The system provides analytical information about how users journey through an entity model. The system automatically maintains listings such as frequently asked questions. The system works in a networked environment, which may be a distributed network.