Abstract: Systems and methods for annotated data collection in an electronic messaging platform. One example system includes a machine learning database and an electronic processor communicatively coupled to the machine learning database. The electronic processor is configured to receive a plurality of electronic messages. The electronic processor is configured to select a sample message set from the plurality of electronic messages. The electronic processor is configured to add an actionable message to each electronic message of the sample message set. The electronic processor is configured to receive an actionable message selection from an electronic messaging client. The actionable message selection includes a user label indication and a message identifier. The electronic processor is configured to store the actionable message selection in the machine learning database.

Abstract: A method and system for exporting a 3D object in an application to a file having a 3D file format is disclosed. The method includes a receiving a request for exporting a 3D object in an application to a file having a 3D file format where the 3D object includes a plurality of components. Upon receiving the request, the components are examined to determine if any of them are a 2D text component. When it is determined that at least one of the components is a 2D text component, a database may be referenced to identify a text character that corresponds to the 2D text component, before replacing the 2D text component with a corresponding 3D model in the file.