{ "entities": [ {"text": "American", "type": "nationality"}, {"text": "Guadeloupe", "type": "location"}, {"text": "2022", "type": "year"}, {"text": "Jet ski race", "type": "event"} ], "relations": [ {"subject": "Guadeloupe", "predicate": "host of", "object": "Jet ski race"}, {"subject": "American", "predicate": "involved in", "object": "incident"}, {"subject": "2022", "predicate": "year of", "object": "Jet ski race"} ], "concepts": [ {"text": "Water sports", "type": "activity"}, {"text": "Island", "type": "location type"}, {"text": "Fatality", "type": "incident type"} ] } This deep feature representation captures various aspects of the subject, including entities, relations, concepts, and semantic roles. It provides a rich and structured representation of the text that can be used for various natural language processing tasks.