diff --git a/.gitignore b/.gitignore
index 46eb8451d..373f4bbf6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -64,3 +64,5 @@ test/__init__.py
 *~
 
 .sfdx/tools/apex.db
+.pytest_cache/
+python-sdk.iml
diff --git a/test/unit/test_natural_language_classifier_v1.py b/test/unit/test_natural_language_classifier_v1.py
index edb1a501a..f7ebea29c 100644
--- a/test/unit/test_natural_language_classifier_v1.py
+++ b/test/unit/test_natural_language_classifier_v1.py
@@ -82,3 +82,54 @@ def test_success():
     assert responses.calls[4].response.text == remove_response
 
     assert len(responses.calls) == 5
+
+
+@responses.activate
+def test_validTextInputs_classifyMultipleTexts_callsUrlWithCorrectJSONBody():
+    natural_language_classifier = watson_developer_cloud.NaturalLanguageClassifierV1(username="username",
+                                                                                     password="password")
+    classify_collection_url = 'https://gateway.watsonplatform.net/natural-language-classifier/api/v1/classifiers/497EF2-nlc-00/classify_collection'
+    classify_collection_response = '{ \
+            "classifier_id": "497EF2-nlc-00", \
+            "url": "https://gateway.watsonplatform.net/natural-language-classifier/api/v1/classifiers/10D41B-nlc-1", \
+            "collection": [ \
+                { \
+                    "text": "How hot will it be today?", \
+                    "top_class": "temperature", \
+                    "classes": [ \
+                        { \
+                            "class_name": "temperature", \
+                            "confidence": 0.9930558798985937 \
+                        }, \
+                        { \
+                            "class_name": "conditions", \
+                            "confidence": 0.006944120101406304 \
+                        } \
+                    ] \
+                }, \
+                { \
+                    "text": "Is it hot outside?", \
+                    "top_class": "temperature", \
+                    "classes": [ \
+                        { \
+                            "class_name": "temperature", \
+                            "confidence": 1 \
+                        }, \
+                        { \
+                            "class_name": "conditions", \
+                            "confidence": 0 \
+                        } \
+                    ] \
+                } \
+            ] \
+            }'
+    responses.add(responses.POST, classify_collection_url,
+                  body=classify_collection_response, status=200,
+                  content_type='application/json')
+
+    classifier_id = '497EF2-nlc-00'
+    collection = ["How hot will it be today?", "Is it hot outside?"]
+    natural_language_classifier.classifyCollection(classifier_id, collection)
+
+    assert responses.calls[0].request.url == classify_collection_url
+    assert responses.calls[0].response.text == classify_collection_response
diff --git a/watson_developer_cloud/natural_language_classifier_v1.py b/watson_developer_cloud/natural_language_classifier_v1.py
index 6831c5de4..7ce65503d 100644
--- a/watson_developer_cloud/natural_language_classifier_v1.py
+++ b/watson_developer_cloud/natural_language_classifier_v1.py
@@ -91,6 +91,30 @@ def classify(self, classifier_id, text):
             method='POST', url=url, json=data, accept_json=True)
         return response
 
+    def classifyCollection(self, classifier_id, collection):
+        """
+        Returns label information for the input. The status must be `Available` before you
+        can use the classifier to classify text.
+
+        :param str classifier_id: Classifier ID to use.
+        :param str collection: The submitted collection of phrases.
+        :return: A `dict` containing the `Classification` response.
+        :rtype: dict
+        """
+        if classifier_id is None:
+            raise ValueError('classifier_id must be provided')
+        if collection is None:
+            raise ValueError('collection must be provided')
+        if len(collection) == 0 is None:
+            raise ValueError('collection must be provided')
+        data = {'collection': list(map(lambda x: {"text" :x}, collection))}
+        url = '/v1/classifiers/{0}/classify_collection'.format(
+            *self._encode_path_vars(classifier_id))
+        response = self.request(
+            method='POST', url=url, json=data, accept_json=True)
+        return response
+
+
     #########################
     # Manage classifiers
     #########################