Abstract: A system facilitates real-time user interactions in a virtual environment of a user application accessible by multiple computing devices. System instructions include receiving a set of defined topics including a defined topic from a first computing device of the computing devices. The instructions include receiving, from at least one of the computing devices, data representing machine-readable text converted from a verbal conversation between two or more users in the virtual environment. The instructions include identifying a set of topics from the data representing machine-readable text. The instructions include comparing the identified set of topics from the data representing machine-readable text to the set of defined topics. The instructions include, in response to detecting a match between a topic of the identified set of topics and the defined topic of the set of defined topics, transmitting, to the first computing device, a notification of the matching defined topic.

Abstract: A system facilitates real-time user interactions in a virtual environment of a user application accessible by multiple computing devices. System instructions include receiving a set of defined topics including a defined topic from a first computing device of the computing devices. The instructions include receiving, from at least one of the computing devices, data representing machine-readable text converted from a verbal conversation between two or more users in the virtual environment. The instructions include identifying a set of topics from the data representing machine-readable text. The instructions include comparing the identified set of topics from the data representing machine-readable text to the set of defined topics. The instructions include, in response to detecting a match between a topic of the identified set of topics and the defined topic of the set of defined topics, transmitting, to the first computing device, a notification of the matching defined topic.

Abstract: A content analysis system includes processor and memory hardware storing data analyzed content items and instructions for execution by the processor hardware. The instructions include, in response to a first intermediate content item being analyzed to generate a first text description, receiving the first intermediate content item and analyzing the first text description to generate a first reduced text description. The instructions include identifying a first set of tags by applying a tag model to the first text description and generating a first analyzed content item. The instructions include adding the first analyzed content item to the analyzed content database and, in response to a displayed content item being associated with at least one tag of the first set of tags, displaying a first user-selectable link corresponding to the first analyzed content item on a portion of a user interface of a user device displaying the displayed content item.

Abstract: A content analysis system includes processor and memory hardware storing data analyzed content items and instructions for execution by the processor hardware. The instructions include, in response to a first intermediate content item being analyzed to generate a first text description, receiving the first intermediate content item and analyzing the first text description to generate a first reduced text description. The instructions include identifying a first set of tags by applying a tag model to the first text description and generating a first analyzed content item. The instructions include adding the first analyzed content item to the analyzed content database and, in response to a displayed content item being associated with at least one tag of the first set of tags, displaying a first user-selectable link corresponding to the first analyzed content item on a portion of a user interface of a user device displaying the displayed content item.

Abstract: A content analysis system includes processor and memory hardware storing data analyzed content items and instructions for execution by the processor hardware. The instructions include, in response to a first intermediate content item being analyzed to generate a first text description, receiving the first intermediate content item and analyzing the first text description to generate a first reduced text description. The instructions include identifying a first set of tags by applying a tag model to the first text description and generating a first analyzed content item. The instructions include adding the first analyzed content item to the analyzed content database and, in response to a displayed content item being associated with at least one tag of the first set of tags, displaying a first user-selectable link corresponding to the first analyzed content item on a portion of a user interface of a user device displaying the displayed content item.

Abstract: A content analysis system includes processor and memory hardware storing data analyzed content items and instructions for execution by the processor hardware. The instructions include, in response to a first intermediate content item being analyzed to generate a first text description, receiving the first intermediate content item and analyzing the first text description to generate a first reduced text description. The instructions include identifying a first set of tags by applying a tag model to the first text description and generating a first analyzed content item. The instructions include adding the first analyzed content item to the analyzed content database and, in response to a displayed content item being associated with at least one tag of the first set of tags, displaying a first user-selectable link corresponding to the first analyzed content item on a portion of a user interface of a user device displaying the displayed content item.

Abstract: A content analysis system includes processor and memory hardware storing data analyzed content items and instructions for execution by the processor hardware. The instructions include, in response to a first intermediate content item being analyzed to generate a first text description, receiving the first intermediate content item and analyzing the first text description to generate a first reduced text description. The instructions include identifying a first set of tags by applying a tag model to the first text description and generating a first analyzed content item. The instructions include adding the first analyzed content item to the analyzed content database and, in response to a displayed content item being associated with at least one tag of the first set of tags, displaying a first user-selectable link corresponding to the first analyzed content item on a portion of a user interface of a user device displaying the displayed content item.

Abstract: A system facilitates real-time user interactions in a virtual environment of a user application accessible by multiple computing devices. System instructions include receiving a set of defined topics including a defined topic from a first computing device of the computing devices. The instructions include receiving, from at least one of the computing devices, data representing machine-readable text converted from a verbal conversation between two or more users in the virtual environment. The instructions include identifying a set of topics from the data representing machine-readable text. The instructions include comparing the identified set of topics from the data representing machine-readable text to the set of defined topics. The instructions include, in response to detecting a match between a topic of the identified set of topics and the defined topic of the set of defined topics, transmitting, to the first computing device, a notification of the matching defined topic.

Abstract: A system includes a topic subsystem module, a portfolio subsystem module, a performance subsystem module, a server, and a client device. The topic subsystem module acquires and stores artifact data relative to a first predetermined period having user-defined start and end. The topic subsystem module extracts topics related to preselected data. The portfolio subsystem module stores data regarding asset positions in a financial portfolio and the performance of each position over a second predetermined period having user-defined start and end. The performance subsystem module is configured to generate performance metrics for aggregate categories over a third predetermined period having user-defined start and end. The server generates relevancy relationships between the respective artifact data, asset positions, and performance metrics. The client receives the relevancy data and displays, on a graphical user interface, a knowledge web relating individual components of the relevancy data.

Abstract: A system for displaying a knowledge web. The knowledge web is generated in accordance with data describing at least one of news, topics, sectors, or portfolios. the knowledge web indicates the strength of connection or influence between any pair of data. The news, topics, sectors, or portfolios are connected by edges. Various shapes, sizes, colors, distances between elements, and line thickness can be used to indicate the strength of connection or influence. A server analyses the knowledge web and suggests asset trades of assets or securities based upon the knowledge web.