nltk.corpus.reader.OpinionLexiconCorpusReader

class documentation

class OpinionLexiconCorpusReader(WordListCorpusReader): (source)

Constructor: OpinionLexiconCorpusReader(root, fileids, encoding, tagset)

Reader for Liu and Hu opinion lexicon. Blank lines and readme are ignored.

>>> from nltk.corpus import opinion_lexicon
>>> opinion_lexicon.words()
['2-faced', '2-faces', 'abnormal', 'abolish', ...]

The OpinionLexiconCorpusReader provides shortcuts to retrieve positive/negative words:

>>> opinion_lexicon.negative()
['2-faced', '2-faces', 'abnormal', 'abolish', ...]

Note that words from words() method are sorted by file id, not alphabetically:

>>> opinion_lexicon.words()[0:10]
['2-faced', '2-faces', 'abnormal', 'abolish', 'abominable', 'abominably',
'abominate', 'abomination', 'abort', 'aborted']
>>> sorted(opinion_lexicon.words())[0:10]
['2-faced', '2-faces', 'a+', 'abnormal', 'abolish', 'abominable', 'abominably',
'abominate', 'abomination', 'abort']

Method	`negative`	Return all negative words in alphabetical order.
Method	`positive`	Return all positive words in alphabetical order.
Method	`words`	Return all words in the opinion lexicon. Note that these words are not sorted in alphabetical order.
Method	`_read_word_block`	Undocumented

Inherited from WordListCorpusReader:

Method raw Undocumented

Inherited from CorpusReader (via WordListCorpusReader):

Method	`__init__`	No summary
Method	`__repr__`	Undocumented
Method	`abspath`	Return the absolute path for the given file.
Method	`abspaths`	Return a list of the absolute paths for all fileids in this corpus; or for the given list of fileids, if specified.
Method	`citation`	Return the contents of the corpus citation.bib file, if it exists.
Method	`encoding`	Return the unicode encoding for the given corpus file, if known. If the encoding is unknown, or if the given file should be processed using byte strings (str), then return None.
Method	`ensure_loaded`	Load this corpus (if it has not already been loaded). This is used by LazyCorpusLoader as a simple method that can be used to make sure a corpus is loaded -- e.g., in case a user wants to do help(some_corpus).
Method	`fileids`	Return a list of file identifiers for the fileids that make up this corpus.
Method	`license`	Return the contents of the corpus LICENSE file, if it exists.
Method	`open`	Return an open stream that can be used to read the given file. If the file's encoding is not None, then the stream will automatically decode the file's contents into unicode.
Method	`readme`	Return the contents of the corpus README file, if it exists.
Class Variable	`root`	Undocumented
Method	`_get_root`	Undocumented
Instance Variable	`_encoding`	The default unicode encoding for the fileids that make up this corpus. If `encoding` is None, then the file contents are processed using byte strings.
Instance Variable	`_fileids`	A list of the relative paths for the fileids that make up this corpus.
Instance Variable	`_root`	The root directory for this corpus.
Instance Variable	`_tagset`	Undocumented

def negative(self): (source) ¶

Return all negative words in alphabetical order.

Returns
list(str)	a list of negative words.

def positive(self): (source) ¶

Return all positive words in alphabetical order.

Returns
list(str)	a list of positive words.

def words(self, fileids=None): (source) ¶

overrides nltk.corpus.reader.WordListCorpusReader.words

Return all words in the opinion lexicon. Note that these words are not sorted in alphabetical order.

Parameters
fileids	a list or regexp specifying the ids of the files whose words have to be returned.
Returns
list(str)	the given file(s) as a list of words and punctuation symbols.

def _read_word_block(self, stream): (source) ¶

Undocumented