Abstract: A method and a system for detecting suspicious transactions and providing warnings in advance of executing the transactions in order to prevent fraud are provided. The method includes: receiving a request to conduct a transaction with an entity by using a digital payment application, the request including first profile information that relates to the entity; retrieving second profile information that relates to the requestor; comparing the first profile information with the second profile information; and determining, based on a result of the comparison, whether to suspend the requested transaction. When a determination is made that the proposed transaction may be fraudulent, the transaction may be suspended and a warning message may be sent to the requestor in order to afford an opportunity to avoid the fraud.

Abstract: Various methods, apparatuses/systems, and media for automatic real-time identification of dissatisfaction data are disclosed. A receiver receives real-time stream of call transcript data generated during a call or a chat between a customer and an agent. A processor implements a machine learning model that includes predefined complaint data; applies the received call transcript data onto the machine learning model; compares, in response to applying, the call transcript data with predefined complaint data; generates a first similarity score, based on comparing, that identifies how similar the call transcript data is compared to the predefined complaint data; and automatically identifies the call transcript data as a first dissatisfaction data based on determining that the first similarity score is equal to or more than a predetermined threshold value.