Abstract: At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: At least some embodiments are directed to an entity classification system receives informational data associated with an entity. The informational data includes sentences associated with the entity. The entity classification system utilizes a first machine learning model to determine a first contextual meaning among words of a sentence associated with the entity based on a first word embedding technique, and determines at least one category associated with the entity based at least in part on the first contextual meaning. The entity classification system utilizes a second machine learning model to determine a second contextual meaning shared by a set of sentences based on a second embedding technique, and determines a subcategory of the category associated with the entity based at least in part on the second contextual meaning. The entity classification system generates an output including the category and subcategory associated with the entity.

Abstract: Embodiments of the present invention provide a method, system, and computer program product for authorizing a financial transaction. A financial institution can identify financial risk associated with the financial transaction based on product details. The product details are sent to the financial institution by a merchant along with the authorization request. The financial institution, then, notifies the merchant regarding authorization of the financial transaction based on the risk assessment. Finally, the merchant fulfills or terminates the financial transaction based on the notification received regarding authorization request.

Abstract: A system and method for fraud prevention is provided. Specifically, an application program interface may be used in concert with an authorization request to process a transaction, to utilize fraud prevention tools. A system, method and/or computer program product for transmitting an authorization request and a request for fraud services to a transaction account issuer is disclosed. The transaction account issuer may combine the authorization request and request for fraud services in order to create an authorization response.

Abstract: A system for generating an identity theft score is disclosed. The system may identify consumers who have experienced identity theft during a historical time period, generate an identity theft risk model based upon the plurality of consumers who have experienced identity theft, and generate an identity theft score for an individual consumer based upon the identity theft risk model and data associated with the individual consumer. The identity theft risk model may comprise a regression model, and the identity theft score may represent a probability that the individual consumer will experience identity theft during a future time period.

Abstract: Embodiments of the present invention provide a method, system, and computer program product for authorizing a financial transaction. A financial institution can identify financial risk associated with the financial transaction based on product details. The product details are sent to the financial institution by a merchant along with the authorization request. The financial institution, then, notifies the merchant regarding authorization of the financial transaction based on the risk assessment. Finally, the merchant fulfills or terminates the financial transaction based on the notification received regarding authorization request.

Abstract: Embodiments of the present invention provide a method and system for enabling a financial institution to communicate with a merchant regarding post-authorization processing of a financial transaction. The merchant assesses feasibility of the financial transaction after receiving an authorization from the financial institution for the financial transaction and accordingly processes the financial transaction based on the feasibility assessment. The processing of the financial transaction may either result in fulfillment or non-fulfillment of the financial transaction depending on the feasibility assessment. Finally, the merchant provides the financial institution details related to the processing of the financial institution in real-time following the authorization.

Abstract: A system and method for fraud prevention is provided. Specifically, an application program interface may be used in concert with an authorization request to process a transaction, to utilize fraud prevention tools. A system, method and/or computer program product for transmitting an authorization request to a financial institution and transmitting a request to utilize a fraud mitigation tool is disclosed. Additionally, a system, method and/or computer program product for providing value added services in the flow of data between a merchant and a financial institution is disclosed.

Abstract: Embodiments of the present invention provide a method and system for enabling a financial institution to communicate with a merchant regarding post-authorization processing of a financial transaction. The merchant assesses feasibility of the financial transaction after receiving an authorization from the financial institution for the financial transaction and accordingly processes the financial transaction based on the feasibility assessment. The processing of the financial transaction may either result in fulfillment or non-fulfillment of the financial transaction depending on the feasibility assessment. Finally, the merchant provides the financial institution details related to the processing of the financial institution in real-time following the authorization.

Abstract: Embodiments of the present invention provide a method, system, and computer program product for authorizing a financial transaction. A financial institution can identify financial risk associated with the financial transaction based on product details. The product details are sent to the financial institution by a merchant along with the authorization request. The financial institution, then, notifies the merchant regarding authorization of the financial transaction based on the risk assessment. Finally, the merchant fulfills or terminates the financial transaction based on the notification received regarding authorization request.