[Text Mining]TextBlob: Simplified Text Processing

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TextBlob: Simplified Text Processing

Homepage: https://textblob.readthedocs.io/

TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.

from textblob import TextBlobtext = '''The titular threat of The Blob has always struck me as the ultimate moviemonster: an insatiably hungry, amoeba-like mass able to penetratevirtually any safeguard, capable of--as a doomed doctor chillinglydescribes it--"assimilating flesh on contact.Snide comparisons to gelatin be damned, it's a concept with the mostdevastating of potential consequences, not unlike the grey goo scenarioproposed by technological theorists fearful ofartificial intelligence run rampant.'''blob = TextBlob(text)blob.tags           # [('The', 'DT'), ('titular', 'JJ'),                    blob.noun_phrases   # WordList(['titular threat', 'blob',                    #            'ultimate movie monster',                    #            'amoeba-like mass', ...])for sentence in blob.sentences:    print(sentence.sentiment.polarity)# 0.060# -0.341blob.translate(to="es")  # 'La amenaza titular de The Blob...'

TextBlob stands on the giant shoulders of NLTK and pattern, and plays nicely with both.

Features

• 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
  

Get it now$ pip install -U textblob$ python -m textblob.download_corporaExamples

See more examples at the Quickstart guide.

Documentation

Full documentation is available at https://textblob.readthedocs.io/.

Requirements

• Python >= 2.7 or >= 3.4
  

Project Links

• Docs: https://textblob.readthedocs.io/
• Changelog: https://textblob.readthedocs.io/en/latest/changelog.html
• PyPI: https://pypi.python.org/pypi/TextBlob
• Issues: https://github.com/sloria/TextBlob/issues
  

License

MIT licensed. See the bundled LICENSE file for more details.

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关键词：Text Mining Processing simplified processI Process

1. Create a TextBlob
   
2. First, the import.
   
3. 
   
4. >>> from textblob import TextBlob
   
5. Let’s create our first TextBlob.
   
6. 
   
7. >>> wiki = TextBlob("Python is a high-level, general-purpose programming language.

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1. Part-of-speech Tagging
   
2. Part-of-speech tags can be accessed through the tags property.
   
3. 
   
4. >>> wiki.tags
   
5. [('Python', 'NNP'), ('is', 'VBZ'), ('a', 'DT'), ('high-level', 'JJ'), ('general-purpose', 'JJ'), ('programming', 'NN'), ('language', 'NN')]

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1. Noun Phrase Extraction
   
2. Similarly, noun phrases are accessed through the noun_phrases property.
   
3. 
   
4. >>> wiki.noun_phrases
   
5. WordList(['python'])

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谢谢楼主分享！

1. Words Inflection and Lemmatization
   
2. Each word in TextBlob.words or Sentence.words is a Word object (a subclass of unicode) with useful methods, e.g. for word inflection.
   
3. 
   
4. >>> sentence = TextBlob('Use 4 spaces per indentation level.')
   
5. >>> sentence.words
   
6. WordList(['Use', '4', 'spaces', 'per', 'indentation', 'level'])
   
7. >>> sentence.words[2].singularize()
   
8. 'space'
   
9. >>> sentence.words[-1].pluralize()
   
10. 'levels'

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1. WordNet Integration
   
2. You can access the synsets for a Word via the synsets property or the get_synsets method, optionally passing in a part of speech.
   
3. 
   
4. >>> from textblob import Word
   
5. >>> from textblob.wordnet import VERB
   
6. >>> word = Word("octopus")
   
7. >>> word.synsets
   
8. [Synset('octopus.n.01'), Synset('octopus.n.02')]
   
9. >>> Word("hack").get_synsets(pos=VERB)
   
10. [Synset('chop.v.05'), Synset('hack.v.02'), Synset('hack.v.03'), Synset('hack.v.04'), Synset('hack.v.05'), Synset('hack.v.06'), Synset('hack.v.07'), Synset('hack.v.08')]

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1. WordLists
   
2. A WordList is just a Python list with additional methods.
   
3. 
   
4. >>> animals = TextBlob("cat dog octopus")
   
5. >>> animals.words
   
6. WordList(['cat', 'dog', 'octopus'])
   
7. >>> animals.words.pluralize()
   
8. WordList(['cats', 'dogs', 'octopodes'])

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1. Spelling Correction
   
2. Use the correct() method to attempt spelling correction.
   
3. 
   
4. >>> b = TextBlob("I havv goood speling!")
   
5. >>> print(b.correct())
   
6. I have good spelling!
   
7. Word objects have a spellcheck() Word.spellcheck() method that returns a list of (word, confidence) tuples with spelling suggestions.
   
8. 
   
9. >>> from textblob import Word
   
10. >>> w = Word('falibility')
    
11. >>> w.spellcheck()
    
12. [('fallibility', 1.0)]

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