class_docstr: This class is used for concept embedding (knowledge graph types (ontology classes, wiki categories)
class_docstr_tok: ["This","class","is","used","for","concept","embedding","(","knowledge","graph","types","(","ontology","classes",",","wiki","categories",")"]
code: def word_concept_similarity(self, word, concept):
      v_word = self.word_vector(word)
      v_concept = self.concept_vector(concept)
      return (
          self.consine_similarity(v_word, v_concept)
          if v_word is not None and v_concept is not None
          else 0.0
      )
  
imports: from numpy import array
  from gensim import matutils
label_desc: Use image node_id 10 for calling the ConceptRelatedness obj's underlying member method code with example usage: obj.word_concept_similarity(word, concept) and returns: unknown