Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Methods and systems for network-based intervention are disclosed. The methods can include receiving a user response and analyzing the user response and other user data to determine a user typology. The user typology can be compared with risk data that indicates the user's risk of failing to achieve a target outcome based on the identified user typology. If the user's risk of failing to achieve the target outcome exceeds a desired level, a mitigation plan can be generated and provided to the user to thereby facilitate in the attainment of the target outcome.

Abstract: Methods and systems for network-based intervention are disclosed. The methods can include receiving a user response and analyzing the user response and other user data to determine a user typology. The user typology can be compared with risk data that indicates the user's risk of failing to achieve a target outcome based on the identified user typology. If the user's risk of failing to achieve the target outcome exceeds a desired level, a mitigation plan can be generated and provided to the user to thereby facilitate in the attainment of the target outcome.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and method for alerting a user device based on a proposed anonymization of a contribution to a conversation thread via one or several location-based anonymization rules are disclosed herein. The system can include a user device that can have location-determining features that can determine a physical location of the user device; a network interface that can exchange data with a server via a communication network; and an I/O subsystem that can convert electrical signals to user-interpretable outputs in a user interface. The system can include a server that can: receive a contribution from the user device; determine an anonymization level for applying to the contribution; identify a potential identifier in the content of the contribution; anonymize the potential identifier according to the determined anonymization level; and generate and provide an alert to the user device.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Systems and method for alerting a user device based on a proposed anonymization of a contribution to a conversation thread via one or several location-based anonymization rules are disclosed herein. The system can include a user device that can have location-determining features that can determine a physical location of the user device; a network interface that can exchange data with a server via a communication network; and an I/O subsystem that can convert electrical signals to user-interpretable outputs in a user interface. The system can include a server that can: receive a contribution from the user device; determine an anonymization level for applying to the contribution; identify a potential identifier in the content of the contribution; anonymize the potential identifier according to the determined anonymization level; and generate and provide an alert to the user device.

Abstract: Systems and method for alerting a user device based on a proposed anonymization of a contribution to a conversation thread via one or several location-based anonymization rules are disclosed herein. The system can include a user device that can have location-determining features that can determine a physical location of the user device; a network interface that can exchange data with a server via a communication network; and an I/O subsystem that can convert electrical signals to user-interpretable outputs in a user interface. The system can include a server that can: receive a contribution from the user device; determine an anonymization level for applying to the contribution; identify a potential identifier in the content of the contribution; anonymize the potential identifier according to the determined anonymization level; and generate and provide an alert to the user device.

Abstract: Systems and method for alerting a user device based on a proposed anonymization of a contribution to a conversation thread via one or several location-based anonymization rules are disclosed herein. The system can include a user device that can have location-determining features that can determine a physical location of the user device; a network interface that can exchange data with a server via a communication network; and an I/O subsystem that can convert electrical signals to user-interpretable outputs in a user interface. The system can include a server that can: receive a contribution from the user device; determine an anonymization level for applying to the contribution; identify a potential identifier in the content of the contribution; anonymize the potential identifier according to the determined anonymization level; and generate and provide an alert to the user device.

Abstract: Systems and method for alerting a user device based on a proposed anonymization of a contribution to a conversation thread via one or several location-based anonymization rules are disclosed herein. The system can include a user device that can have location-determining features that can determine a physical location of the user device; a network interface that can exchange data with a server via a communication network; and an I/O subsystem that can convert electrical signals to user-interpretable outputs in a user interface. The system can include a server that can: receive a contribution from the user device; determine an anonymization level for applying to the contribution; identify a potential identifier in the content of the contribution; anonymize the potential identifier according to the determined anonymization level; and generate and provide an alert to the user device.

Abstract: An event spectator connection tool is a multiprocessor distributed computing system. A memory stores computer instructions that direct processors to maintain a social network database storing records associated with spectators and event hosts. For each spectator, a data structure represents a primary geographic region and a list of interests of the spectator. For each event host, a data structure represents a list of geographic regions and a list of services offered at each venue operated by the event host.

Abstract: Systems and methods for content aggregation creation are disclosed herein. The system can include memory having a content database and an aggregation database. The system can include a user device having a first network interface and a first I/O subsystem. The system can include a server that can: provide content to the user device via a first electrical signal; receive a selection of a portion of the provided content from the user device via a second electrical signal; automatically extract sentences from the selected portion of the provided content via a natural language processor; automatically generate a parse tree for one of the automatically extracted sentences; identify noun phrases from the part of speech tags within the parse tree; place content associated with one of the noun phrase in a content aggregation; and output the content aggregation to the user device.

Abstract: Methods and systems for network-based intervention are disclosed. The methods can include receiving a user response and analyzing the user response and other user data to determine a user typology. The user typology can be compared with risk data that indicates the user's risk of failing to achieve a target outcome based on the identified user typology. If the user's risk of failing to achieve the target outcome exceeds a desired level, a mitigation plan can be generated and provided to the user to thereby facilitate in the attainment of the target outcome.