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公开(公告)号：US11463255B2
公开(公告)日：2022-10-04
申请号：US17141064
申请日：2021-01-04
摘要： A device receives a document that includes a request and supporting data associated with the request. The device determines that the received request is a first request type. A first set of supporting data is determined that is needed to determine a verification status for requests of the first request type. Based on a comparison of the received supporting data to the first set of supporting data, the device determines that the supporting data includes the data needed to determine the verification status for requests of the first request type. The device then extracts document data from the received document. The extracted document data is compared to the supporting data. Based on this comparison, a verification status is determined for the request.
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公开(公告)号：US20220216993A1
公开(公告)日：2022-07-07
申请号：US17141064
申请日：2021-01-04
IPC分类号： H04L9/32
摘要： A device receives a document that includes a request and supporting data associated with the request. The device determines that the received request is a first request type. A first set of supporting data is determined that is needed to determine a verification status for requests of the first request type. Based on a comparison of the received supporting data to the first set of supporting data, the device determines that the supporting data includes the data needed to determine the verification status for requests of the first request type. The device then extracts document data from the received document. The extracted document data is compared to the supporting data. Based on this comparison, a verification status is determined for the request.
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公开(公告)号：US10162812B2
公开(公告)日：2018-12-25
申请号：US15478769
申请日：2017-04-04
摘要： Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.
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公开(公告)号：US12106306B2
公开(公告)日：2024-10-01
申请号：US17518138
申请日：2021-11-03
CPC分类号： G06Q20/4016 , G06Q20/20 , G06Q20/4015 , G06Q20/405
摘要： Real-time prevention of misappropriation and/or exposure assessment posed by a transaction at a POS terminal, especially those transactions in which it is not possible to otherwise definitively determine that a user/transactor is present at the POS terminal. AI is relied on, such as, a neural network implementing sequence modeling, to predict the likelihood that a user/transactor is present at the POS terminal. Location of a user is tracked via a designated mobile communication device and in instances in which a location of the mobile communication cannot be identified at the time of the transaction, the invention performs analysis based at least on the last-in-time location of the mobile communication device, the user's travel route leading up to the last-in-time location of the mobile communication device and other factors to predict a likelihood that the user is located at the POS terminal. As a result of the predicted likelihood either the transaction is automatically decisioned or the user/transactor is alerted and requested to their approve or reject/deny the transaction.
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公开(公告)号：US20230135558A1
公开(公告)日：2023-05-04
申请号：US17518138
申请日：2021-11-03
摘要： Real-time prevention of misappropriation and/or exposure assessment posed by a transaction at a POS terminal, especially those transactions in which it is not possible to otherwise definitively determine that a user/transactor is present at the POS terminal. AI is relied on, such as, a neural network implementing sequence modeling, to predict the likelihood that a user/transactor is present at the POS terminal. Location of a user is tracked via a designated mobile communication device and in instances in which a location of the mobile communication cannot be identified at the time of the transaction, the invention performs analysis based at least on the last-in-time location of the mobile communication device, the user's travel route leading up to the last-in-time location of the mobile communication device and other factors to predict a likelihood that the user is located at the POS terminal. As a result of the predicted likelihood either the transaction is automatically decisioned or the user/transactor is alerted and requested to their approve or reject/deny the transaction.
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公开(公告)号：US20180285345A1
公开(公告)日：2018-10-04
申请号：US15478769
申请日：2017-04-04
CPC分类号： G06F17/2785 , G06F17/2705 , G06F17/2735 , G06F17/274 , G06F17/277 , G10L15/26 , G10L15/265
摘要： Aspects of the disclosure relate to using a natural language processing system to analyze mobile application feedback. A computing platform having at least one processor, a memory, and a communication interface may receive mobile application feedback information comprising text feedback associated with feedback of a mobile application. The computing platform may identify one or more nouns associated with the text feedback. The computing platform may identify one or more text feedback topics. The computing platform may generate one or more commands directing a sentiment analysis server to determine one or more sentiments for the one or more text feedback topics. The computing platform may transmit the one or more commands directing the sentiment analysis server to determine the one or more sentiments. The computing platform may receive the one or more sentiments. The computing platform may transmit the feedback topics and the one or more sentiments.
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