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...'
