Machine learning based updates of domain specific language parameters

A method of machine learning based updates of brand parameters, comprising:

• obtaining, by a device, an input indicating information associated with one or more attributes of an entity;
• analyzing, by the device, the input to identify one or more words or phrases from the input;
• detecting, by the device, one or more domain specific language (DSL) keywords, from the one or more words or phrases, indicative of one or more brand parameters associated with the entity;
• providing, by the device and to a machine learning model, an indication of the entity and the one or more words or phrases;
• obtaining, by the device and via an output of the machine learning model and based on providing the indication of the entity and the one or more words or phrases, an indication of updates to be made for the one or more brand parameters;
• and
• performing, by the device, an action based on the output of the machine learning model.

A non-transitory computer-readable medium storing a set of instructions, the set of instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• obtain audio data indicating information associated with one or more attributes associated with an entity;
• analyze the audio data to identify one or more words or phrases from the audio data;
• detect one or more keywords, from the one or more words or phrases, indicative of the entity;
• provide, to a machine learning model, an indication of the entity and the one or more words or phrases;
• obtain, from the machine learning model and based on providing the indication of the entity and the one or more words or phrases, an indication of one or more domain specific language (DSL) parameters that are to be updated for the entity;
• and
• update, based on an output of the machine learning model, the one or more DSL parameters to obtain one or more updated DSL parameters.