Package nltk :: Module text :: Class TextCollection

type TextCollection

object --+    
         |    
      Text --+
             |
            TextCollection

A collection of texts, which can be loaded with list of texts, or with a corpus consisting of one or more texts, and which supports counting, concordancing, collocation discovery, etc. Initialize a TextCollection as follows:

>>> gutenberg = TextCollection(nltk.corpus.gutenberg)
>>> mytexts = TextCollection([text1, text2, text3])

Iterating over a TextCollection produces all the tokens of all the texts in order.

Instance Methods

[hide private]

__init__(self, source, name=None)
Create a Text object.

source code

tf(self, term, text, method=None)
The frequency of the term in text.

source code

idf(self, term, method=None)
The number of texts in the corpus divided by the number of texts that the term appears in.

source code

tf_idf(self, term, text)

source code

Inherited from Text: __getitem__, __len__, __repr__, collocations, common_contexts, concordance, count, dispersion_plot, findall, generate, index, plot, readability, search, similar, vocab

Inherited from Text (private): _context

Class Variables

[hide private]

Inherited from Text (private): _CONTEXT_RE, _COPY_TOKENS

Method Details

[hide private]

init(self, source, name=None)
(Constructor)

source code

Create a Text object.

Parameters:

tokens - The source text.

Overrides: Text.__init__

(inherited documentation)

idf(self, term, method=None)

source code

The number of texts in the corpus divided by the number of texts that the term appears in. If a term does not appear in the corpus, 0.0 is returned.

type TextCollection

__init__(self, source, name=None) (Constructor)

idf(self, term, method=None)

init(self, source, name=None)
(Constructor)