【Python NLTK】教程：轻松入门，玩转自然语言处理

from nltk.tokenize import Word_tokenize

text = "Hello, world! This is a sample text."
tokens = word_tokenize(text)

print(tokens)

from nltk.tokenize import sent_tokenize

text = "Hello, world! This is a sample text. This is another sentence."
sentences = sent_tokenize(text)

print(sentences)

from nltk.tag import pos_tag

text = "The cat sat on the mat."
tagged_text = pos_tag(text)

print(tagged_text)

from nltk.parse import CoreNLPParser

parser = CoreNLPParser()

text = "The cat sat on the mat."
tree = parser.parse(text)

print(tree)

from nltk.corpus import wordnet

text = "The cat sat on the mat."

# 查找"cat"的同义词
synsets = wordnet.synsets("cat")
for synset in synsets:
print(synset)

# 查找"sat"的反义词
antonyms = wordnet.antonyms("sat")
for antonym in antonyms:
print(antonym)

Synset("cat.n.01")
Synset("big_cat.n.01")
Synset("domestic_cat.n.01")
...
Antonym("sit.v.01")