Systems and methods for using artificial intelligence models to generate a time series distribution of text units

A system comprising:

• a memory configured to store instructions;
• and
• one or more processors configured to execute the instructions to perform operations comprising:
• receiving, from one or more applications of a digital workspace of an organization, text content generated by users of the organization;
• partitioning, using a first artificial intelligence (AI) model, the text content into text units;
• classifying, using a second AI model, the text units into respective well-being-related categories;
• generating a time series distribution of the text units among the well-being-related categories, based on classifying the text units into the respective well-being-related categories;
• and
• causing a user interface to be displayed on a user device, the user interface including the time series distribution of the text units among the well-being-related categories for the organization.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, from one or more applications of a digital workspace of an organization, text content generated by users of the organization;
• partitioning, using a first artificial intelligence (AI) model, the text content into text units;
• classifying, using a second AI model, the text units into respective well-being-related categories;
• generating a time series distribution of the text units among the well-being-related categories, based on classifying the text units into the respective well-being-related categories;
• and
• causing a user interface to be displayed on a user device, the user interface including the time series distribution of the text units among the well-being-related categories for the organization.