TextBlob是一個很有意思的Python文本處理工具包，它其實是基于上面兩個Python工具包NLKT和Pattern做了封裝（TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both），同時提供了很多文本處理功能的接口，包括詞性標注，名詞短語提取，情感分析，文本分類，拼寫檢查等，甚至包括翻譯和語言檢測，不過這個是基于Google的API的，有調用次數限制。TextBlob相對比較年輕，有興趣的同學可以關注。

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           # [(u'The', u'DT'), (u'titular', u'JJ'),

                #  (u'threat', u'NN'), (u'of', u'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...'</pre> 

特性：


Noun phrase extraction

Part-of-speech tagging

Sentiment analysis

Classification (Naive Bayes, Decision Tree)

Language translation and detection powered by Google Translate

Tokenization (splitting text into words and sentences)

Word and phrase frequencies

Parsing

n-grams

Word inflection (pluralization and singularization) and lemmatization

Spelling correction

Add new models or languages through extensions

WordNet integration
</ul>
</div>


</span>官方主頁：http://textblob.readthedocs.org/en/dev/

Github代碼頁：https://github.com/sloria/textblob

                    
                    

                        
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 TextBlob Python開發