- 授权协议: MIT
- 开发语言: Python
- 操作系统: 跨平台
- 软件首页: https://github.com/sloria/TextBlob
- 软件文档: https://textblob.readthedocs.io/en/dev/
软件介绍
TextBlob 是一款 Pythonic 的文本处理工具，用于处理文本数据，它提供了一个简单的 API，用于潜入常见的自然语言处理（NLP）任务，如词性标注、名词短语提取、情感分析、分类、翻译等。
特性：
名词短语提取
词性标记
情绪分析
分类
由 Google 翻译提供的翻译和检测
标记（将文本分割成单词和句子）
词句、短语频率
解析
n-gram
词变化（复数和单数化）和词形化
拼写校正
通过扩展添加新模型或语言
WordNet 集成
示例：
from textblob import TextBlob
text = '''
The titular threat of The Blob has always struck me as the ultimate movie
monster: an insatiably hungry, amoeba-like mass able to penetrate
virtually any safeguard, capable of--as a doomed doctor chillingly
describes it--"assimilating flesh on contact.
Snide comparisons to gelatin be damned, it's a concept with the most
devastating of potential consequences, not unlike the grey goo scenario
proposed by technological theorists fearful of
artificial intelligence run rampant.
'''
blob = TextBlob(text)
blob.tags # [('The', 'DT'), ('titular', 'JJ'),
# ('threat', 'NN'), ('of', 'IN'), ...]
blob.noun_phrases # WordList(['titular threat', 'blob',
# 'ultimate movie monster',
# 'amoeba-like mass', ...])
for sentence in blob.sentences:
print(sentence.sentiment.polarity)
# 0.060
# -0.341
blob.translate(to="es") # 'La amenaza titular de The Blob...'
