Real-time named entity based transaction approval

A non-transitory computer-readable medium configured to store computer code comprising instructions, wherein the instructions, when executed by a processor, cause the processor to:

• store past transaction data associated with a plurality of clients;
• generate training data from the past transaction data, the training data comprising labels of named entities associated with the past transaction data and noisy data fields in the past transaction data;
• train a named-entity-identification model using the labels of the named entities and the noisy data fields in the training data;
• receive a transaction rule from a particular client;
• receive a transaction data payload related to a pending transaction associated with the particular client;
• identify a noisy data field in the transaction data payload, the noisy data field including a representation of a particular named entity and one or more irrelevant strings;
• input the noisy data field into the named-entity-identification model to identify the particular named entity;
• apply the transaction rule to the particular identified named entity;
• and
• conduct a transaction evaluation to determine whether to approve the pending transaction based on the transaction rule.

A system comprising:

• a processor;
• memory configured to store computer code comprising instructions, wherein the instructions, when executed by the processor, cause the processor to:
• store past transaction data associated with a plurality of clients;
• generate training data from the past transaction data, the training data comprising labels of named entities associated with the past transaction data and noisy data fields in the past transaction data;
• train a named-entity-identification model using the labels of the named entities and the noisy data fields in the training data;
• receive a transaction rule from a particular client;
• receive a transaction data payload related to a pending transaction associated with the particular client;
• identify a noisy data field in the transaction data payload, the noisy data field including a representation of a particular named entity and one or more irrelevant strings;
• input the noisy data field into the named-entity-identification model to identify the particular named entity;
• apply the transaction rule to the particular identified named entity;
• and
• conduct a transaction evaluation to determine whether to approve the pending transaction based on the transaction rule.