If you had the curiosity to read the documentation of the GraphAware NLP package, you have already seen the procedures we are going to use now: the enrich procedure.
This procedure uses the ConceptNet graph, which relates words together with different kinds of relationships. We can find synonyms and antonyms but also created by or symbol of relationships. The full list is available at https://github.com/commonsense/conceptnet5/wiki/Relations.
Let's see ConceptNet in action. For this, we first need to select a Tag which is the result of the GraphAware annotate procedure we used previously. For this example, I will use the Tag corresponding to the verb "make" and look for its synonyms. The syntax is the following:
MATCH (t:Tag {value: "make"})
CALL ga.nlp.enrich.concept({tag: t, depth: 1, admittedRelationships:["Synonym"]}
The admittedRelationships parameter is a list of relationships...
