LSA soft clustering

-"""Pirated example from Gensim library (a NLP specialized tool):
+"""Adapted from Gensim library (a NLP specialized tool):
 https://radimrehurek.com/gensim/tut2.html
 https://radimrehurek.com/gensim/wiki.html#latent-semantic-analysis
-
+and
 Ignacio Arroyo
 """
 
@@ -106,13 +106,12 @@ for pertenence, sentence in zip(corpus_lsa, sentences):
     	#print "%s\t\t%s" % (pertenence, sentence.split("\t")[0])
     	p=[dict(pertenence)[x] if x in dict(pertenence) else 0.0
                                             for x in xrange(n_topics)]
-    	print "%s %s" % ("".join(sentence.split("\t")[0].split()),
-                            "".join(str(p)[1:].strip("]").split(",")) )
+    	print("{} {}".format("".join(sentence.split("\t")[0].split()), "".join(str(p)[1:].strip("]").split(","))))
     else:
         if n<n_docs:
             pertenence=[dict(pertenence)[x] if x in dict(pertenence) else 0.0
                                                     for x in xrange(n_topics)]
-            print "%s\t\t%s" % (pertenence, sentence)
+            print("%s\t\t%s" % (pertenence, sentence))
             n+=1
         else:
             break
\ No newline at end of file