System and method for evaluating text to support multiple applications
AssigneeHartford Fire Insurance Company
InventorArthur Paul Drennan, III
Life of this patent
Estimating the term…
Abstract
A system for evaluating text data to support multiple applications is disclosed. In some embodiments, text input data is received from multiple sources. The text input data may then be aggregated and mapped to create composite text input data. A semantic event in the composite text input data may be automatically detected, such as by being triggered by a semantic rule and associated semantic tag. A text mining result database may be updated by adding an entry to the database identifying the detected semantic event and the triggering semantic rule. An indication associated with the text mining result database may then be transmitted to a plurality of applications.
Claims20
A system for evaluating text data to support a plurality of server-based applications, comprising:
- an administrator interface platform, including:
- an administrator interface computer processor adapted to:
- interact with a user via a graphical named entity recognition interface, and
- receive, from the user, a named entity recognition rule defined using graphically displayed root words coupled via logical connections;
- a text mining platform, coupled to the administrator interface platform, including:
- a communication device to receive text input data from multiple sources;
- a processor coupled to the communication device;
- and
- a computer storage device in communication with the processor and storing instructions adapted to be executed by the processor to:
- aggregate and map the received text input data to create composite text input data,
- automatically detect a semantic event in the composite text input data triggered by named entity recognition rule,
- flag the detected semantic event as meeting a pre-determined condition,
- update a text mining result database, responsive to the flag, by adding an entry to the database identifying the named entity recognition rule, and
- transmit an indication associated with the text mining result database to the plurality of server-based applications.
A computer-implemented method for evaluating text data to support multiple server-based applications, comprising:
- interacting with a user, by an administrator interface platform, via a graphical named entity recognition interface;
- receiving, from the user, a named entity recognition rule defined using graphically displayed root words coupled via logical connections;
- aggregating and mapping received text input data to create composite text input data;
- automatically detecting a semantic event in the composite text input data triggered by the named entity recognition rule;
- flagging the detected semantic event as meeting a pre-determined condition;
- updating a text mining result database, responsive to the flag, by adding an entry to the database identifying the named entity recognition rule;
- and
- transmitting an indication associated with the text mining result database to the plurality of server-based applications.
A system for evaluating text data to support a plurality of server-based insurance applications, comprising:
- an administrator interface platform, including:
- an administrator interface computer processor adapted to:
- interact with a user via a graphical named entity recognition interface, and
- receive, from the user, a named entity recognition rule defined using graphically displayed root words coupled via logical connections;
- a text mining platform, coupled to the administrator interface platform, including:
- a communication device to receive text input data from multiple sources, including an insurance claim system and an external third-party text data source;
- a processor coupled to the communication device;
- and
- a computer storage device in communication with the processor and storing instructions adapted to be executed by the processor to:
- aggregate and map the received text input data to create composite text input data,
- automatically detect a semantic event in the composite text input data triggered by named entity recognition rule,
- flag the detected semantic event as meeting a pre-determined condition,
- update a text mining result database, responsive to the flag, by adding an entry to the database identifying the detected semantic event and the named entity recognition rule, and
- transmit an indication associated with the text mining result database to the plurality of server-based insurance applications, wherein the plurality of server-based insurance applications include both an email alert server and a workflow application.
Dependencies are inferred from the claim text.