diff --git a/gensim/models/logentropy_model.py b/gensim/models/logentropy_model.py
index bdc726d5fd..a79c685660 100644
--- a/gensim/models/logentropy_model.py
+++ b/gensim/models/logentropy_model.py
@@ -108,6 +108,9 @@ def initialize(self, corpus):
             self.n_docs, len(glob_freq), self.n_words
         )
         logger.debug('iterating over corpus')
+
+        # initialize doc_no2 index in case corpus is empty
+        doc_no2 = 0
         for doc_no2, bow in enumerate(corpus):
             for key, freq in bow:
                 p = (float(freq) / glob_freq[key]) * math.log(float(freq) / glob_freq[key])
diff --git a/gensim/test/test_logentropy_model.py b/gensim/test/test_logentropy_model.py
index bc64f1b2d1..5613b1d896 100644
--- a/gensim/test/test_logentropy_model.py
+++ b/gensim/test/test_logentropy_model.py
@@ -19,9 +19,23 @@
 
 
 class TestLogEntropyModel(unittest.TestCase):
+    TEST_CORPUS = [[(1, 1.0)], [], [(0, 0.5), (2, 1.0)], []]
+
     def setUp(self):
         self.corpus_small = MmCorpus(datapath('test_corpus_small.mm'))
         self.corpus_ok = MmCorpus(datapath('test_corpus_ok.mm'))
+        self.corpus_empty = []
+
+    def test_generator_fail(self):
+        """Test creating a model using a generator as input; should fail."""
+        def get_generator(test_corpus=TestLogEntropyModel.TEST_CORPUS):
+            for test_doc in test_corpus:
+                yield test_doc
+        self.assertRaises(ValueError, logentropy_model.LogEntropyModel, corpus=get_generator())
+
+    def test_empty_fail(self):
+        """Test creating a model using an empty input; should fail."""
+        self.assertRaises(ValueError, logentropy_model.LogEntropyModel, corpus=self.corpus_empty)
 
     def testTransform(self):
         # create the transformation model