Seemlessly add extensions to NLTK's Wordnet implementation.

# Access Sentiwordnet Corpus
>>> from nltk.corpus import wordnet as wn
>>> from wnext import sentiwordnet
>>> able = wn.synset('able.a.01')
>>> print able.sentiment()
(0.125, 0.0)

# Access eXtended WordNet Domains (XWND) 
>>> from wnext import wndomains
>>> book = wn.synset('book.n.01')
>>> book.domains()[:5]
[('roman_catholic', 0.00319282), ('publishing', 0.00285319), ('philology', 0.00133688), ('literature', 0.00092217), ('pedagogy', 0.000497682)]

# Access GeoWordnet data
>>> from nltk.corpus import wordnet as wn
>>> from wnext import geowordnet
>>> washington = wn.synset('washington.n.01')
>>> print washington.geo()
('4140963', 38.8951118, -77.0363658)

• SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. Sentiwordnet website
• XWND is an ongoing work aiming to automatically improve WordNet Domains. First, the original domain labels aligned to WordNet 1.6 have been projected to WordNet 3.0 using the automatic mappings across WordNet versions. XWND website
• GeoWordNet is a semantic resource built from the full integration of WordNet, GeoNames and the Italian part of MultiWordNet. GeoWordnet Website

SentiWordNet is distributed under the Attribution-ShareAlike 3.0 Unported (CC BY-SA 3.0) license .

XWND is distributed under Attribution 3.0 Unported (CC BY 3.0) license.

The GeoWordNet Public Dataset is distributed under the Creative Commons Attribution 3.0 Unported License license terms and conditions.