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We examined some small text collections in 1., such as the speeches known as the US Presidential Inaugural Addresses.This particular corpus actually contains dozens of individual texts — one per address — but for convenience we glued them end-to-end and treated them as a single text. also used various pre-defined texts that we accessed by typing This program displays three statistics for each text: average word length, average sentence length, and the number of times each vocabulary item appears in the text on average (our lexical diversity score).For the moment, you can ignore the details and just concentrate on the output.The Reuters Corpus contains 10,788 news documents totaling 1.3 million words.The first handful of words in each of these texts are the titles, which by convention are stored as upper case.In 1, we looked at the Inaugural Address Corpus, but treated it as a single text.Observe that average word length appears to be a general property of English, since it has a recurrent value of variable counts space characters.) By contrast average sentence length and lexical diversity appear to be characteristics of particular authors.
NLTK's corpus readers support efficient access to a variety of corpora, and can be used to work with new corpora.
The corpus contains over 10,000 posts, anonymized by replacing usernames with generic names of the form "User NNN", and manually edited to remove any other identifying information.
The corpus is organized into 15 files, where each file contains several hundred posts collected on a given date, for an age-specific chatroom (teens, 20s, 30s, 40s, plus a generic adults chatroom).
The graph in fig-inaugural used "word offset" as one of the axes; this is the numerical index of the word in the corpus, counting from the first word of the first address.
However, the corpus is actually a collection of 55 texts, one for each presidential address.