System and method for searching and identifying potential financial risks disclosed within a document
First Claim
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1. A system for alerting an analyst to the presence of risk indicative information in a source report, the system comprising:
- a processor;
a content surveillance subsystem including;
at least two text analysis software modules trained with training segments extracted from historical financial reporting documents, each training segment comprising a previously observed representation of an expression of information indicative of an actual financial risk, said content surveillance subsystem being constructed and arranged to score segments of the source report based on the closeness of each segment to one or more training segments; and
a virtual committee operable to combine the scores of each of the at least two text analysis software modules; and
an alert subsystem in communication with said content surveillance subsystem and including a report generator and an alert notifier, wherein the report generator is constructed and arranged to generate a report and said the alert notifier is constructed and arranged to transmit the alert to the analyst, wherein the alert and the report comprise one or more risk indicative segments extracted from the source report by the text analysis software module where the one or more risk indicative segments in the alert are each associated with a score above a pre-determined threshold.
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Abstract
A system and method for alerting analysts to the presence of risk indicative information in a source report such as an SEC Edgar filing are described. An alert containing the risk indicative text may be e-mailed to an analyst and a link may be provided so that the analyst may easily access and view the complete report and additional identified risk indicative information. Additionally, the alerts and reports may be organized according to a hierarchical taxonomy of risk and/or corporate categories.
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Citations
21 Claims
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1. A system for alerting an analyst to the presence of risk indicative information in a source report, the system comprising:
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a processor; a content surveillance subsystem including; at least two text analysis software modules trained with training segments extracted from historical financial reporting documents, each training segment comprising a previously observed representation of an expression of information indicative of an actual financial risk, said content surveillance subsystem being constructed and arranged to score segments of the source report based on the closeness of each segment to one or more training segments; and a virtual committee operable to combine the scores of each of the at least two text analysis software modules; and an alert subsystem in communication with said content surveillance subsystem and including a report generator and an alert notifier, wherein the report generator is constructed and arranged to generate a report and said the alert notifier is constructed and arranged to transmit the alert to the analyst, wherein the alert and the report comprise one or more risk indicative segments extracted from the source report by the text analysis software module where the one or more risk indicative segments in the alert are each associated with a score above a pre-determined threshold. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for alerting an analyst to the presence of risk indicative information in a source report, the system comprising:
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a processor; a content surveillance subsystem including; a text analysis software module trained with training segments extracted from historical financial reporting documents, each training segment comprising a previously observed representation of an expression of information indicative of an actual financial risk, said content surveillance subsystem being constructed and arranged to score segments of the source report based on the closeness of each segment to one or more training segments; a Boolean searcher; and a virtual committee, wherein the Boolean searcher extracts segments matching one or more pre-stored Boolean expressions and the virtual committee is operable to enhance a score of a segment extracted by the text analysis software module where the segment or a portion thereof was also extracted by the Boolean searcher; and an alert subsystem in communication with said content surveillance subsystem and including a report generator and an alert notifier, wherein the report generator is constructed and arranged to generate a report and said the alert notifier is constructed and arranged to transmit the alert to the analyst, wherein the alert and the report comprise one or more risk indicative segments extracted from the source report by the text analysis software module where the one or more risk indicative segments in the alert are each associated with a score above a pre-determined threshold. - View Dependent Claims (11, 12)
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13. A computer-implemented method for automatically identifying information within a source report that is potentially indicative of a financial risk, said method comprising:
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assembling a plurality of training segments from historical financial documents, each training segment comprising a previously observed representation of an expression of information indicative of an actual financial risk; using text analysis software comprising two or more text analysis algorithms to compare content of a source report with the training segments to identify, with each text analysis algorithm, one or more portions of the content having a similarity to one or more training segments and to generate a closeness score reflective of the extent of the similarity of the identified content portion with a particular training segment; comparing to each other the one or more portions identified with each algorithm and the closeness scores generated with each algorithm; identifying a single identified portion having a similarity to one or more training segments and generating a single closeness score; generating a risk alert communication for any identified portions of the content for which the generated closeness score exceeds a predetermined threshold; transmitting the risk alert communication to at least one analyst; and enabling the analyst to view the identified portion of the source report. - View Dependent Claims (14, 15, 16, 17, 18, 19)
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20. A computer-implemented method for automatically identifying information within a source report that is potentially indicative of a financial risk, said method comprising:
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assembling a plurality of training segments from historical financial documents, each training segment comprising a previously observed representation of an expression of information indicative of an actual financial risk; using text analysis software to compare content of a source report with the training segments to identify portions of the content having a similarity to one or more training segments and to generate a closeness score reflective of the extent of the similarity of the identified content portion with a particular training segment; employing a Boolean searcher to identify segments matching one or more of a plurality of Boolean expressions stored in a database and adjusting the closeness score associated with each segment extracted by both the Boolean searcher and the text analysis software; generating a risk alert communication for any identified portions of the content for which the generated closeness score exceeds a predetermined threshold; transmitting the risk alert communication to at least one analyst; enabling the analyst to view the identified portion of the source report. - View Dependent Claims (21)
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Specification