diff --git a/sklearn/feature_extraction/tests/test_feature_hasher.py b/sklearn/feature_extraction/tests/test_feature_hasher.py
index 0204910607f32..d258625897e27 100644
--- a/sklearn/feature_extraction/tests/test_feature_hasher.py
+++ b/sklearn/feature_extraction/tests/test_feature_hasher.py
@@ -20,6 +20,7 @@ def test_feature_hasher_dicts():
     assert_array_equal(X1.toarray(), X2.toarray())
 
 
+@ignore_warnings(category=DeprecationWarning)
 def test_feature_hasher_strings():
     # mix byte and Unicode strings; note that "foo" is a duplicate in row 0
     raw_X = [["foo", "bar", "baz", "foo".encode("ascii")],
diff --git a/sklearn/feature_extraction/tests/test_text.py b/sklearn/feature_extraction/tests/test_text.py
index de6674646c981..11060007b8355 100644
--- a/sklearn/feature_extraction/tests/test_text.py
+++ b/sklearn/feature_extraction/tests/test_text.py
@@ -28,7 +28,8 @@
                                    assert_not_equal, assert_almost_equal,
                                    assert_in, assert_less, assert_greater,
                                    assert_warns_message, assert_raise_message,
-                                   clean_warning_registry, SkipTest)
+                                   clean_warning_registry, ignore_warnings,
+                                   SkipTest)
 
 from collections import defaultdict, Mapping
 from functools import partial
@@ -480,6 +481,7 @@ def test_tfidf_vectorizer_setters():
     assert_true(tv._tfidf.sublinear_tf)
 
 
+@ignore_warnings(category=DeprecationWarning)
 def test_hashing_vectorizer():
     v = HashingVectorizer()
     X = v.transform(ALL_FOOD_DOCS)
@@ -651,6 +653,7 @@ def test_count_binary_occurrences():
     assert_equal(X_sparse.dtype, np.float32)
 
 
+@ignore_warnings(category=DeprecationWarning)
 def test_hashed_binary_occurrences():
     # by default multiple occurrences are counted as longs
     test_data = ['aaabc', 'abbde']
@@ -784,6 +787,7 @@ def test_vectorizer_pipeline_cross_validation():
     assert_array_equal(cv_scores, [1., 1., 1.])
 
 
+@ignore_warnings(category=DeprecationWarning)
 def test_vectorizer_unicode():
     # tests that the count vectorizer works with cyrillic.
     document = (