Intelligent analysis of digital symbols for message content determination

A method comprising:

• accessing messages transmitted by at least one messaging platform of a service provider from a plurality of users;
• determining one or more sequences or one or more layouts of at least a portion of a plurality of characters or a plurality of symbols in the messages;
• determining a plurality of graphical images from the one or more sequences or the one or more layouts;
• determining a plurality of target keywords for the plurality of graphical images, wherein each of the plurality of graphical images is associated with one or more of the plurality of target keywords and the one or more sequences or the one or more layouts in the messages;
• converting each of the plurality of graphical images to one of the plurality of target keywords using a graphical image conversion operation, the plurality of graphical images, and the one or more sequences or the one or more layouts;
• generating, based on the converting, textual mappings of plain text replaceable in the messages for the plurality of graphical images based on each of the plurality of graphical images that is associated with one or more of the plurality of target keywords;
• training a machine learning model for converting the plurality of graphical images to the plurality of target keywords using a machine learning technique, the plurality of graphical images, and the plurality of target keywords;
• implementing the textual mappings and the machine learning model with a content determination system for the service provider that determines a content of an additional message comprising one of the plurality of graphical images that is transmitted via the at least one messaging platform;
• and
• associating each of the textual mappings with a corresponding compliance action for the textual mappings.

A non-transitory machine-readable medium having stored thereon machine-readable instructions executable to cause a machine to perform operations comprising:

• accessing, from an account of a user, a communication transmitted from the account, wherein the communication comprises text and a graphic within the text;
• determining a sequence or a layout of at least one of a plurality of characters or a plurality of symbols in the text of the communication;
• determining the graphic from the sequence or the layout in the text;
• determining, using at least one of graphics-to-text mappings or a machine learning model trained to convert graphics into text, at least one target word for the graphic using the sequence or the layout in the communication;
• altering the text to include the at least one target word in place of the graphic in plain text in the communication;
• determining, using a sentiment analysis system, a contextual intent of the communication based on the altered text;
• and
• determining whether the communication includes flagged content based on the contextual intent of the communication.