I have a list of tokens/words which co-occur with each other. Some of these tokens co-occur more than the others. Moreover, there's a conditional relationship between many. For example, "bat" occurs conditionally with "sport" & "baseball". Such conditional relationships can be on multiple variables. I want to represent these "conditional relationships" (depending on presence/absence of values) using a DAG. Is a graphical model the correct way to do so?
Mathematically, I have a large symmetric matrix r x c. The values of this matrix are binary signifying the collocation of r,c viz. if r,c = 1 it means that r,c are co-occurring and may have a dependence between them.