textblob-de
textblob-de README
Features
Installing/Upgrading
Usage
Access to
pattern
API in Python3
Documentation and API Reference
Requirements
TODO
License
Thanks
Tutorial: Quickstart
Advanced Usage: Overriding Models and the Blobber Class
Extensions
API Reference
Blob Classes
Base Classes
Tokenizers
POS Taggers
Noun Phrase Extractors
Sentiment Analyzers
Parsers
Classifiers (from TextBlob main package)
Blobber
File Formats (from TextBlob main package)
Exceptions (from TextBlob main package)
Changelog
0.4.0 (17/09/2014)
0.3.1 (29/08/2014)
0.3.0 (14/08/2014)
0.2.9 (14/08/2014)
0.2.8 (14/08/2014)
0.2.7 (13/08/2014)
0.2.6 (04/08/2014)
0.2.5 (04/08/2014)
0.2.3 (26/07/2014)
0.2.2 (22/07/2014)
0.2.1 (20/07/2014)
0.2.0 (18/07/2014)
0.1.3 (09/07/2014)
0.1.0 - 0.1.2 (09/07/2014)
Credits
TextBlob Development Lead
textblob-de Author/Maintainer
Contributors
LICENSE
Contributing guidelines
In General
In Particular
make
command
Using
make
on Windows
Project
Makefile
Documentation
Makefile
textblob-de
Docs
»
Index
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A
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B
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C
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D
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E
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F
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G
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I
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J
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K
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L
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M
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N
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P
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R
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S
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T
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U
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W
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Z
_
__call__() (textblob_de.blob.BlobberDE method)
A
accuracy() (textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
analyze() (textblob_de.sentiments.PatternAnalyzer method)
append() (textblob_de.blob.WordList method)
B
BaseBlob (class in textblob_de.blob)
BaseClassifier (class in textblob.classifiers)
BaseFormat (class in textblob.formats)
BaseLemmatizer (class in textblob_de.base)
basic_extractor() (in module textblob.classifiers)
BlobberDE (class in textblob_de.blob)
,
[1]
C
capitalize() (textblob_de.blob.Word method)
center() (textblob_de.blob.Word method)
classifier (textblob.classifiers.BaseClassifier attribute)
(textblob.classifiers.DecisionTreeClassifier attribute)
(textblob.classifiers.MaxEntClassifier attribute)
(textblob.classifiers.NLTKClassifier attribute)
(textblob.classifiers.NaiveBayesClassifier attribute)
(textblob.classifiers.PositiveNaiveBayesClassifier attribute)
classify() (textblob.classifiers.BaseClassifier method)
(textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
(textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
contains_extractor() (in module textblob.classifiers)
correct() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
count() (textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
CSV (class in textblob.formats)
D
DecisionTreeClassifier (class in textblob.classifiers)
decode() (textblob_de.blob.Word method)
define() (textblob_de.blob.Word method)
definitions (textblob_de.blob.Word attribute)
DelimitedFormat (class in textblob.formats)
detect() (in module textblob.formats)
(textblob.formats.BaseFormat class method)
(textblob.formats.CSV class method)
(textblob.formats.DelimitedFormat class method)
(textblob.formats.JSON class method)
(textblob.formats.TSV class method)
detect_language() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
dict (textblob_de.blob.Sentence attribute)
E
encode() (textblob_de.blob.Word method)
end (textblob_de.blob.Sentence attribute)
end_index (textblob_de.blob.Sentence attribute)
ends_with() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
endswith() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
expandtabs() (textblob_de.blob.Word method)
extend() (textblob_de.blob.WordList method)
extract() (textblob_de.np_extractors.PatternParserNPExtractor method)
extract_features() (textblob.classifiers.BaseClassifier method)
(textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
F
find() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
format() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
G
get_registry() (in module textblob.formats)
get_synsets() (textblob_de.blob.Word method)
I
index() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
informative_features() (textblob.classifiers.NaiveBayesClassifier method)
insert() (textblob_de.blob.WordList method)
isalnum() (textblob_de.blob.Word method)
isalpha() (textblob_de.blob.Word method)
isdecimal() (textblob_de.blob.Word method)
isdigit() (textblob_de.blob.Word method)
islower() (textblob_de.blob.Word method)
isnumeric() (textblob_de.blob.Word method)
isspace() (textblob_de.blob.Word method)
istitle() (textblob_de.blob.Word method)
isupper() (textblob_de.blob.Word method)
itokenize() (textblob_de.tokenizers.NLTKPunktTokenizer method)
(textblob_de.tokenizers.PatternTokenizer method)
(textblob_de.tokenizers.SentenceTokenizer method)
(textblob_de.tokenizers.WordTokenizer method)
J
join() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
JSON (class in textblob.formats)
json (textblob_de.blob.TextBlobDE attribute)
K
kind (textblob_de.sentiments.PatternAnalyzer attribute)
L
labels() (textblob.classifiers.BaseClassifier method)
(textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
lemma (textblob_de.blob.Word attribute)
lemmatize() (textblob_de.base.BaseLemmatizer method)
(textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
ljust() (textblob_de.blob.Word method)
lower() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
lstrip() (textblob_de.blob.Word method)
M
MaxEntClassifier (class in textblob.classifiers)
MissingCorpusException (in module textblob.exceptions)
N
NaiveBayesClassifier (class in textblob.classifiers)
ngrams() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
nltk_class (textblob.classifiers.MaxEntClassifier attribute)
(textblob.classifiers.NLTKClassifier attribute)
(textblob.classifiers.NaiveBayesClassifier attribute)
NLTKClassifier (class in textblob.classifiers)
NLTKPunktTokenizer (class in textblob_de.tokenizers)
noun_phrases (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
np_counts (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
P
parse() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.parsers.PatternParser method)
parsetree() (textblob_de.parsers.PatternParser method)
partition() (textblob_de.blob.Word method)
PatternAnalyzer (class in textblob_de.sentiments)
PatternParser (class in textblob_de.parsers)
PatternParserNPExtractor (class in textblob_de.np_extractors)
PatternTagger (class in textblob_de.taggers)
PatternTokenizer (class in textblob_de.tokenizers)
pluralize() (textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
polarity (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
pop() (textblob_de.blob.WordList method)
pos_tags (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
PositiveNaiveBayesClassifier (class in textblob.classifiers)
pprint() (textblob.classifiers.DecisionTreeClassifier method)
prob_classify() (textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
pseudocode() (textblob.classifiers.DecisionTreeClassifier method)
R
raw_sentences (textblob_de.blob.TextBlobDE attribute)
register() (in module textblob.formats)
remove() (textblob_de.blob.WordList method)
replace() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
RETURN_TYPE (textblob_de.sentiments.PatternAnalyzer attribute)
reverse() (textblob_de.blob.WordList method)
rfind() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
rindex() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
rjust() (textblob_de.blob.Word method)
rpartition() (textblob_de.blob.Word method)
rsplit() (textblob_de.blob.Word method)
rstrip() (textblob_de.blob.Word method)
S
sent_tokenize() (in module textblob_de.tokenizers)
(textblob_de.tokenizers.NLTKPunktTokenizer method)
(textblob_de.tokenizers.PatternTokenizer method)
(textblob_de.tokenizers.SentenceTokenizer method)
Sentence (class in textblob_de.blob)
sentences (textblob_de.blob.TextBlobDE attribute)
SentenceTokenizer (class in textblob_de.tokenizers)
sentiment (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
serialized (textblob_de.blob.TextBlobDE attribute)
show_informative_features() (textblob.classifiers.NaiveBayesClassifier method)
singularize() (textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
sort() (textblob_de.blob.WordList method)
spellcheck() (textblob_de.blob.Word method)
split() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
splitlines() (textblob_de.blob.Word method)
start (textblob_de.blob.Sentence attribute)
start_index (textblob_de.blob.Sentence attribute)
starts_with() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
startswith() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
strip() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
subjectivity (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
swapcase() (textblob_de.blob.Word method)
synsets (textblob_de.blob.Word attribute)
T
tag() (textblob_de.taggers.PatternTagger method)
tags (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
textblob.classifiers (module)
textblob.exceptions (module)
textblob.formats (module)
textblob_de.base (module)
textblob_de.blob (module)
textblob_de.np_extractors (module)
textblob_de.parsers (module)
textblob_de.sentiments (module)
textblob_de.taggers (module)
textblob_de.tokenizers (module)
TextBlobDE (class in textblob_de.blob)
title() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
to_iterable() (textblob.formats.BaseFormat method)
(textblob.formats.CSV method)
(textblob.formats.DelimitedFormat method)
(textblob.formats.JSON method)
(textblob.formats.TSV method)
to_json() (textblob_de.blob.TextBlobDE method)
tokenize() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.tokenizers.NLTKPunktTokenizer method)
(textblob_de.tokenizers.PatternTokenizer method)
(textblob_de.tokenizers.SentenceTokenizer method)
(textblob_de.tokenizers.WordTokenizer method)
tokens (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
train() (textblob.classifiers.BaseClassifier method)
(textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
translate() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
TSV (class in textblob.formats)
U
update() (textblob.classifiers.DecisionTreeClassifier method)
(textblob.classifiers.MaxEntClassifier method)
(textblob.classifiers.NLTKClassifier method)
(textblob.classifiers.NaiveBayesClassifier method)
(textblob.classifiers.PositiveNaiveBayesClassifier method)
upper() (textblob_de.blob.BaseBlob method)
(textblob_de.blob.Sentence method)
(textblob_de.blob.TextBlobDE method)
(textblob_de.blob.Word method)
(textblob_de.blob.WordList method)
W
Word (class in textblob_de.blob)
word_counts (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
word_tokenize() (in module textblob_de.tokenizers)
(textblob_de.tokenizers.NLTKPunktTokenizer method)
(textblob_de.tokenizers.WordTokenizer method)
WordList (class in textblob_de.blob)
words (textblob_de.blob.BaseBlob attribute)
(textblob_de.blob.Sentence attribute)
(textblob_de.blob.TextBlobDE attribute)
WordTokenizer (class in textblob_de.tokenizers)
Z
zfill() (textblob_de.blob.Word method)