符号化
符号化详细操作教程
在Python中，标记化基本上是指将更大的文本体分成更小的行，单词甚至为非英语语言创建单词。各种标记化函数功能内置在nltk模块中，可以在程序中使用，如下所示。
行标记化
在下面的示例中，使用函数sent_tokenize将给定文本划分为不同的行。
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
import nltk
sentence_data = "The First sentence is about Python. The Second: about Django. You can learn Python,Django and Data Ananlysis here. "
nltk_tokens = nltk.sent_tokenize(sentence_data)
print (nltk_tokens)
当运行上面的程序时，得到以下输出 -
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
['The First sentence is about Python.', 'The Second: about Django.', 'You can learn Python,Django and Data Ananlysis here.']
非英语标记化
在下面的示例中，将德语文本标记为。
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
import nltk
german_tokenizer = nltk.data.load('tokenizers/punkt/german.pickle')
german_tokens=german_tokenizer.tokenize('Wie geht es Ihnen? Gut, danke.')
print(german_tokens)
当运行上面的程序时，得到以下输出 -
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
['Wie geht es Ihnen?', 'Gut, danke.']
单词符号化
我们使用nltk的word_tokenize函数将单词标记。参考以下代码 -
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
import nltk
word_data = "It originated from the idea that there are readers who prefer learning new skills from the comforts of their drawing rooms"
nltk_tokens = nltk.word_tokenize(word_data)
print (nltk_tokens)
当运行上面的程序时，得到以下输出 -
# Filename : example.py
# Copyright : 2020 By Lidihuo
# Author by : www.lidihuo.com
# Date : 2020-08-23
['It', 'originated', 'from', 'the', 'idea', 'that', 'there', 'are', 'readers',
'who', 'prefer', 'learning', 'new', 'skills', 'from', 'the',
'comforts', 'of', 'their', 'drawing', 'rooms']
