nltk.corpus.reader.twitter module

A reader for corpora that consist of Tweets. It is assumed that the Tweets have been serialised into line-delimited JSON.

class nltk.corpus.reader.twitter.TwitterCorpusReader[source]

Bases: CorpusReader

Reader for corpora that consist of Tweets represented as a list of line-delimited JSON.

Individual Tweets can be tokenized using the default tokenizer, or by a custom tokenizer specified as a parameter to the constructor.

Construct a new Tweet corpus reader for a set of documents located at the given root directory.

If you made your own tweet collection in a directory called twitter-files, then you can initialise the reader as:

from nltk.corpus import TwitterCorpusReader
reader = TwitterCorpusReader(root='/path/to/twitter-files', '.*\.json')

However, the recommended approach is to set the relevant directory as the value of the environmental variable TWITTER, and then invoke the reader as follows:

root = os.environ['TWITTER']
reader = TwitterCorpusReader(root, '.*\.json')

If you want to work directly with the raw Tweets, the json library can be used:

import json
for tweet in
    print(json.dumps(tweet, indent=1, sort_keys=True))

The corpus view class used by this reader.

alias of StreamBackedCorpusView

__init__(root, fileids=None, word_tokenizer=<nltk.tokenize.casual.TweetTokenizer object>, encoding='utf8')[source]
  • root – The root directory for this corpus.

  • fileids – A list or regexp specifying the fileids in this corpus.

  • word_tokenizer – Tokenizer for breaking the text of Tweets into smaller units, including but not limited to words.


Returns the full Tweet objects, as specified by Twitter documentation on Tweets


the given file(s) as a list of dictionaries deserialised from JSON.

Return type



Returns only the text content of Tweets in the file(s)


the given file(s) as a list of Tweets.

Return type



the given file(s) as a list of the text content of Tweets as as a list of words, screenanames, hashtags, URLs and punctuation symbols.

Return type