TextBlob
Requirements
Python >= 2.7, but not Python 3 (yet)
Installation
Just run:
$ pip install textblob && python download_corpora.py
This installs textblob and downloads the necessary NLTK models.
Best to see that everything is working by running:
$ nosetests
Usage
Simple.
from text.blob import TextBlob
text = """Beautiful is better than ugly.
Explicit is better than implicit.
Simple is better than complex.
Complex is better than complicated.
Flat is better than nested.
Sparse is better than dense.
Readability counts.
Special cases aren't special enough to break the rules.
Although practicality beats purity.
Errors should never pass silently.
Unless explicitly silenced.
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
Although that way may not be obvious at first unless you're Dutch.
Now is better than never.
Although never is often better than *right* now.
If the implementation is hard to explain, it's a bad idea.
If the implementation is easy to explain, it may be a good idea.
Namespaces are one honking great idea -- let's do more of those!
"""
zen = TextBlob(text) # Create a new TextBlob
# Get the part-of-speech tags
zen.pos_tags # [('beautiful', 'JJ'), ('is', 'VBZ'), ('better', 'RBR'),
# ('than', 'IN'), ('ugly', 'RB'), ...]
# Get the noun_phrases
zen.noun_phrases # ['beautiful', 'explicit', 'simple', 'complex', 'flat',
# 'sparse', 'readability', 'special cases',
# 'practicality beats purity', 'errors', 'unless',
# 'obvious way','dutch', '*right* now', 'bad idea',
# 'good idea', 'namespaces', 'great idea']
# Get word and noun phrase frequencies
zen.word_counts['better'] # 10
zen.word_counts['idea'] # 3
zen.np_counts['great idea'] # 1
# Get the start and end indices of sentences within a blob
# This is useful for text highlighting, for example
for sentence in blob.sentences:
print(sentence) # Beautiful is better than ugly
print("---- Starts at index {}, Ends at index {}"\
.format(sentence.start_index, sentence.end_index)) # 0, 30
# TextBlobs are like Python strings!
zen[0:19] # TextBlob("Beautiful is better")
zen.upper() # TextBlob("BEAUTIFUL IS BETTER THAN UGLY...")
zen.find("purity") # 293
blob1 = TextBlob('apples')
blob2 = TextBlob('bananas')
blob1 < blob2 # True
blob1 + ' and ' + blob2 # TextBlob('apples and bananas')
# Get a serialized version of the blob (a list of dicts)
zen.serialized # [{'end_index': 30,
# 'noun_phrases': ['beautiful'],
# 'raw_sentence': 'Beautiful is better than ugly.',
# 'start_index': 0,
# 'stripped_sentence': 'beautiful is better than ugly'},Testing
Run $ nosetests to run all tests.
1 maintainer
Metadata
1 maintainer
Release files for textblob 0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| textblob-0.1.tar.gz | 7.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| textblob-0.1.macosx-10.7-x86_64.exe | Details |
Total release size: 79.8 kB
Release files / textblob-0.1.tar.gz
| Download URL | textblob-0.1.tar.gz |
|---|---|
| Size | 7.4 kB |
| Tags | Source |
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Release files / textblob-0.1.macosx-10.7-x86_64.exe
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|---|---|
| Size | 72.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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