Methods and arrangements to adjust communications

A non-transitory storage medium containing instructions, which when executed by a processor, cause the processor to:

• provide a graph database with a first node and a second node;
• provide a set of synonyms, wherein the set of synonyms comprises a first subset of synonyms associated with the first node and a second subset of synonyms associated with the second node;
• identify a set of customers based on customer data associated with the set of customers to associate a first subset of the customers with the first node and to associate a second subset of the customers with the second node;
• relate an edge of the first node and an edge of the second node with at least one model;
• and
• train the at least one model to replace one or more words in communications between the first subset of the customers and the second subset of the customers, with a synonym in the second subset of synonyms based on the customer data.

A system comprising:

• a storage medium;
• a communication interface;
• and
• logic circuitry coupled with the storage medium, the logic circuitry configured to:
• correlate synonyms in customer data associated with a first subset of customers of a set of customers to determine a first subset of synonyms common to each customer in the first subset of customers;
• correlate synonyms in customer data associated with a second subset of customers of a set of customers to determine a second subset of synonyms common to each customer in the second subset of customers;
• associate a first model with an interconnect between the first subset of customers and the second subset of customers, wherein the first model is configured to select synonyms from the second subset of synonyms to replace words in communications authored by a customer of the first subset of customers with synonyms in the second subset of synonyms;
• and
• associate a second model with an interconnect between the first subset of customers and the second subset of customers, wherein the second model is configured to select synonyms from the first subset of synonyms to replace words in communications authored by a customer of the second subset of customers with synonyms in the first subset of synonyms.