diff --git a/src/documents/management/commands/document_create_classifier.py b/src/documents/management/commands/document_create_classifier.py
index 79f766c55..e5adcbfa5 100755
--- a/src/documents/management/commands/document_create_classifier.py
+++ b/src/documents/management/commands/document_create_classifier.py
@@ -9,7 +9,8 @@ from ...mixins import Renderable
 class Command(Renderable, BaseCommand):
 
     help = """
-        There is no help.
+        Trains the classifier on your data and saves the resulting models to a
+        file. The document consumer will then automatically use this new model.
     """.replace("    ", "")
 
     def __init__(self, *args, **kwargs):
@@ -18,6 +19,7 @@ class Command(Renderable, BaseCommand):
     def handle(self, *args, **options):
         clf = DocumentClassifier()
         clf.train()
-        logging.getLogger(__name__).info("Saving models to " +
-                                         settings.MODEL_FILE + "...")
+        logging.getLogger(__name__).info(
+            "Saving models to {}...".format(settings.MODEL_FILE)
+        )
         clf.save_classifier()
diff --git a/src/documents/management/commands/document_retagger.py b/src/documents/management/commands/document_retagger.py
index 5bc8614d6..b5853441b 100755
--- a/src/documents/management/commands/document_retagger.py
+++ b/src/documents/management/commands/document_retagger.py
@@ -48,17 +48,28 @@ class Command(Renderable, BaseCommand):
         self.verbosity = options["verbosity"]
 
         if options["inbox_only"]:
-            documents = Document.objects.filter(tags__is_inbox_tag=True).exclude(tags__is_archived_tag=True).distinct()
+            queryset = Document.objects.filter(tags__is_inbox_tag=True)
         else:
-            documents = Document.objects.all().exclude(tags__is_archived_tag=True).distinct()
+            queryset = Document.objects.all()
+        documents = queryset.exclude(tags__is_archived_tag=True).distinct()
 
         logging.getLogger(__name__).info("Loading classifier")
         try:
             clf = DocumentClassifier.load_classifier()
         except FileNotFoundError:
-            logging.getLogger(__name__).fatal("Cannot classify documents, classifier model file was not found.")
+            logging.getLogger(__name__).fatal("Cannot classify documents, "
+                                              "classifier model file was not "
+                                              "found.")
             return
 
         for document in documents:
-            logging.getLogger(__name__).info("Processing document {}".format(document.title))
-            clf.classify_document(document, classify_document_type=options["type"], classify_tags=options["tags"], classify_correspondent=options["correspondent"], replace_tags=options["replace_tags"])
+            logging.getLogger(__name__).info(
+                "Processing document {}".format(document.title)
+            )
+            clf.classify_document(
+                document,
+                classify_document_type=options["type"],
+                classify_tags=options["tags"],
+                classify_correspondent=options["correspondent"],
+                replace_tags=options["replace_tags"]
+            )