In [20]:

# Crosscompute
word = 'shy'
target_folder = '.'

In [21]:

from os.path import join
try:
    import nltk
except ImportError:
    import sys
    !{sys.executable} -m pip install nltk
    import nltk
nltk.download('wordnet')  
from nltk.corpus import wordnet

[nltk_data] Downloading package wordnet to /home/user/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!

In [22]:

synsets = wordnet.synsets(word)
synsets

Out[22]:

[Synset('shy.n.01'),
 Synset('shy.v.01'),
 Synset('shy.v.02'),
 Synset('diffident.a.02'),
 Synset('shy.s.02'),
 Synset('shy.s.03')]

In [23]:

from itertools import chain
lemmas = list(chain(*[s.lemmas() for s in synsets]))
lemmas

Out[23]:

[Lemma('shy.n.01.shy'),
 Lemma('shy.v.01.shy'),
 Lemma('shy.v.02.shy'),
 Lemma('diffident.a.02.diffident'),
 Lemma('diffident.a.02.shy'),
 Lemma('diffident.a.02.timid'),
 Lemma('diffident.a.02.unsure'),
 Lemma('shy.s.02.shy'),
 Lemma('shy.s.03.shy')]

In [24]:

set([l.name() for l in lemmas])

Out[24]:

{'diffident', 'shy', 'timid', 'unsure'}

In [25]:

[l.name() for lemma in lemmas for l in lemma.antonyms()]

Out[25]:

['confident']

In [26]:

syns = set([lemma.name() for lemma in lemmas])
syns = list(syns - set([word]))
syns

Out[26]:

['timid', 'unsure', 'diffident']

In [27]:

ants = [l.name() for lemma in lemmas for l in lemma.antonyms()]
ants

Out[27]:

['confident']

In [28]:

syns_path = join(target_folder, 'synonyms.txt')
ants_path = join(target_folder, 'antonyms.txt')
with open(syns_path, 'w') as f:
    f.writelines([x + '\n' for x in syns])
print('synonyms_text_path = %s' % syns_path)

if ants:
    with open(ants_path, 'w') as f:
        f.writelines([x + '\n' for x in ants])
    print('antonyms_text_path = %s' % ants_path)

synonyms_text_path = ./synonyms.txt
antonyms_text_path = ./antonyms.txt

NLP

Get synonyms and antonyms¶

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