minor edits to corpus reader demo

nltk/corpus/reader/tweets.py

@@ -33,13 +33,14 @@ class TwitterCorpusReader(CorpusReader):
     If you made your own tweet collection in a directory called
     `twitter-files`, then you can initialise the reader as::
 
-        >>> reader = TwitterCorpusReader(root='twitter-files', '.*\.json') # doctest: +SKIP
+        from nltk.corpus import TwitterCorpusReader
+        reader = TwitterCorpusReader(root='/path/to/twitter-files', '.*\.json')
 
-    The recommended approach is to use this directory as the value of the
+    However, the recommended approach is to use this directory as the value of the
     environmental variable `TWITTER`, and then invoke the reader as::
 
-        >>> root = os.environ['TWITTER']
-        >>> reader = TwitterCorpusReader(root, '.*\.json') # doctest: +SKIP
+       root = os.environ['TWITTER']
+       reader = TwitterCorpusReader(root, '.*\.json')
 
     """
 

nltk/twitter/twitter_demo.py

@@ -191,16 +191,14 @@ def corpusreader_demo():
     * the result of tokenising the raw strings.
 
     """
-    #from nltk.corpus import TwitterCorpusReader
     from nltk.corpus import tweets
-    tweets.fileids()
-    #root = os.environ['TWITTER']
+
     #reader = TwitterCorpusReader(root, '1k_sample.json')
     #reader = TwitterCorpusReader('twitter', 'tweets.20150417.json')
     print()
     print("Complete tweet documents")
     print(SPACER)
-    for tweet in tweets.docs()[:2]:
+    for tweet in tweets.docs()[:1]:
         print(json.dumps(tweet, indent=1, sort_keys=True))
 
     print()
@@ -212,13 +210,11 @@ def corpusreader_demo():
     print()
     print("Tokenized tweet strings:")
     print(SPACER)
-    for text in tweets.tokenized()[:15]:
-        print(text)
+    for toks in tweets.tokenized()[:15]:
+        print(toks)
+
 
 
-#def corpusreader_demo():
-    #from nltk.corpus import brown
-    #brown.words()