8. Wordnet.py

from nltk.corpus import wordnet

syns = wordnet.synsets("program")

#[Synset('plan.n.01'), Synset('program.n.02'), Synset('broadcast.n.02'), Synset('platform.n.02'), Synset('program.n.05'), Synset('course_of_study.n.01'), Synset('program.n.07'), Synset('program.n.08'), Synset('program.v.01'), Synset('program.v.02')]
print(syns[0].name())

# [Lemma('plan.n.01.plan'), Lemma('plan.n.01.program'), Lemma('plan.n.01.programme')]
print(syns[0].lemmas()[0].name())

print(syns[0].definition())
print(syns[0].examples())

synonyms = []
antonyms = []
for syn in wordnet.synsets("good"):
    for l in syn.lemmas():
        synonyms.append(l.name())

        if l.antonyms():
            antonyms.append(l.antonyms()[0].name())

print(set(synonyms))
print(set(antonyms))

############################
# Let's compare the noun of "ship" and "boat:"
w1 = wordnet.synset("ship.n.01")
w2 = wordnet.synset("boat.n.01")
print(w1.wup_similarity(w2))


w1 = wordnet.synset("ship.n.01")
w2 = wordnet.synset("car.n.01")
print(w1.wup_similarity(w2))


w1 = wordnet.synset("ship.n.01")
w2 = wordnet.synset("cactus.n.01")
print(w1.wup_similarity(w2))