diff --git a/gensim/similarities/docsim.py b/gensim/similarities/docsim.py
index bb7b4f402b..10e061310a 100755
--- a/gensim/similarities/docsim.py
+++ b/gensim/similarities/docsim.py
@@ -866,13 +866,13 @@ class SoftCosineSimilarity(interfaces.SimilarityABC):
         >>> from gensim.test.utils import common_texts
         >>> from gensim.corpora import Dictionary
         >>> from gensim.models import Word2Vec, WordEmbeddingSimilarityIndex
-        >>> from gensim.similarities import SoftCosineSimilarity, TermSimilarityMatrix
+        >>> from gensim.similarities import SoftCosineSimilarity, SparseTermSimilarityMatrix
         >>>
         >>> model = Word2Vec(common_texts, size=20, min_count=1)  # train word-vectors
-        >>> termsim_index = WordEmbeddingSimilarityIndex(model)
+        >>> termsim_index = WordEmbeddingSimilarityIndex(model.wv)
         >>> dictionary = Dictionary(common_texts)
         >>> bow_corpus = [dictionary.doc2bow(document) for document in common_texts]
-        >>> similarity_matrix = TermSimilarityMatrix(termsim_index, dictionary)  # construct similarity matrix
+        >>> similarity_matrix = SparseTermSimilarityMatrix(termsim_index, dictionary)  # construct similarity matrix
         >>> docsim_index = SoftCosineSimilarity(bow_corpus, similarity_matrix, num_best=10)
         >>>
         >>> query = 'graph trees computer'.split()  # make a query