如何使用ga.nlp.ml.similarity.cosinefor node编写相似余弦语句News：
CREATE (n:News) SET n.text = "Scores of people were already lying dead or injured inside a crowded Orlando nightclub, and the police had spent hours trying to connect with the gunman and end the situation without further violence. But when Omar Mateen threatened to set off explosives, the police decided to act, and pushed their way through a wall to end the bloody standoff.";
什么是正确的语法？
这是调用结构：
CALL ga.nlp.ml.similarity.cosine([<nodes>],depth,Query,Relationship type)
//nodes->The list of annotated nodes for which it will compute the distances
//depth->Integer. if 0, it will not use Concept Net 5 imported data for the distance computing. If greater than 0 it will consider concepts during computation, the value will define how much in general it should go.
//Query->String. It is the query that will be used to compute the tags vector, some are already defined, so this cold be null
//Relationship Type->String. The name to assign to the Relationship created between AnnotatedText nodes.
这是一个例子：
MATCH (a:AnnotatedText)
with collect(a) as list
CALL ga.nlp.ml.similarity.cosine(list, 0, null, "SIMILARITY") YIELD result
return result
CALL ga.nlp.ml.similarity.cosine([<nodes>],depth,Query,Relationship type)
//nodes->Must be annotated nodes
//depth->integer data
//Query->String
//Relationship Type->String