📅  最后修改于: 2023-12-03 14:47:57.640000             🧑  作者: Mango
TextBlob是一个基于Python的自然语言处理工具包。它在NLTK基础上进行了封装,成为更加容易使用的高级别接口,并在其之上添加了一些现代自然语言处理的功能和特性。
TextBlob提供了许多文本处理功能,例如POS标记、情感分析、文本分类和翻译等等。它还支持多种语言,并且可以自定义语言模型。
使用pip进行安装:
pip install textblob
同时,还需要下载nltk的语料库:
python -m textblob.download_corpora
from textblob import TextBlob
text = "This is a sentence."
blob = TextBlob(text)
tags = blob.tags
print(tags)
# output: [('This', 'DT'), ('is', 'VBZ'), ('a', 'DT'), ('sentence', 'NN'), ('.', '.')]
sentiment = blob.sentiment
print(sentiment)
# output: Sentiment(polarity=0.0, subjectivity=0.0)
from textblob.classifiers import NaiveBayesClassifier
train_data = [
('I love this sandwich.', 'pos'),
('This is an amazing place!', 'pos'),
('I feel very good about these beers.', 'pos'),
('This is my best work.', 'pos'),
("What an awesome view", 'pos'),
('I do not like this restaurant', 'neg'),
('I am tired of this stuff.', 'neg'),
("I can't deal with this", 'neg'),
('He is my sworn enemy!', 'neg'),
('My boss is horrible.', 'neg')
]
cl = NaiveBayesClassifier(train_data)
print(cl.classify("This is an amazing library!"))
# output: pos
print(cl.classify("I do not like the sound of that."))
# output: neg
en_blob = TextBlob(u'Simple is better than complex')
# 翻译为中文
cn_blob = en_blob.translate(to='zh-CN')
print(cn_blob)
# 输出: 简单比复杂更好
TextBlob是一个优秀的自然语言处理工具库,适用于从事文本分析相关领域的程序员。通俗易懂的API接口让它变得非常容易上手,而丰富的功能和特性则能够满足各种需求。同时,使用TextBlob还可以大大减少从头开始开发自然语言处理应用的难度和时间。