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Natural Language GAPIC client library #1018

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merged 16 commits into from
Jul 28, 2017
Merged

Natural Language GAPIC client library #1018

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616ec92
Migrate v1 quickstart to gapic
dizcology Jul 10, 2017
bee630a
Migrate snippets.py to gapic
dizcology Jul 10, 2017
e34ab1d
migrate v1beta2 quickstart and snippets to gapic, and flake
dizcology Jul 11, 2017
694092c
update google-cloud-language version in requirements
dizcology Jul 11, 2017
12f1ad8
correct version number in requirements.txt
dizcology Jul 19, 2017
d3dc712
add region tags and update sentiment analysis tutorial
dizcology Jul 19, 2017
cae06c2
use enums
dizcology Jul 19, 2017
06025a7
flake
dizcology Jul 19, 2017
9dba7cc
move pos_tag to local variable
dizcology Jul 19, 2017
36c2c19
use module name
dizcology Jul 19, 2017
92f4f83
use enums
dizcology Jul 20, 2017
4777e50
remove encoding
dizcology Jul 20, 2017
0b03649
update README
dizcology Jul 20, 2017
c2a7448
remove unused import
dizcology Jul 20, 2017
5125b44
encoding should be included to have useful offsets
dizcology Jul 24, 2017
83f7f88
correct python client library version
dizcology Jul 28, 2017
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move pos_tag to local variable
  • Loading branch information
@dizcology
dizcology committed Jul 20, 2017
commit 9dba7ccabfd0ed023f883f0d1166d818ed571f86
16 changes: 10 additions & 6 deletions language/cloud-client/v1/snippets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,10 +28,6 @@
from google.cloud.language import types
import six

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
POS_TAG = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')


# [START def_sentiment_text]
def sentiment_text(text):
Expand Down Expand Up @@ -153,8 +149,12 @@ def syntax_text(text):
# document.type == enums.Document.Type.HTML
tokens = client.analyze_syntax(document).tokens

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')

for token in tokens:
print(u'{}: {}'.format(POS_TAG[token.part_of_speech.tag],
print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
token.text.content))
# [END migration_analyze_syntax]
# [END def_syntax_text]
Expand All @@ -174,8 +174,12 @@ def syntax_file(gcs_uri):
# document.type == enums.Document.Type.HTML
tokens = client.analyze_syntax(document).tokens

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')

for token in tokens:
print(u'{}: {}'.format(POS_TAG[token.part_of_speech.tag],
print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
token.text.content))
# [END def_syntax_file]

Expand Down
16 changes: 10 additions & 6 deletions language/cloud-client/v1beta2/snippets.py
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Original file line number Diff line number Diff line change
Expand Up @@ -29,10 +29,6 @@
from google.cloud.language_v1beta2 import types
import six

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
POS_TAG = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')


def sentiment_text(text):
"""Detects sentiment in the text."""
Expand Down Expand Up @@ -136,8 +132,12 @@ def syntax_text(text):
# document.type == enums.Document.Type.HTML
tokens = client.analyze_syntax(document).tokens

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')

for token in tokens:
print(u'{}: {}'.format(POS_TAG[token.part_of_speech.tag],
print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
token.text.content))


Expand All @@ -154,8 +154,12 @@ def syntax_file(gcs_uri):
# document.type == enums.Document.Type.HTML
tokens = client.analyze_syntax(document).tokens

# part-of-speech tags from google.cloud.language.enums.PartOfSpeech.Tag
pos_tag = ('UNKNOWN', 'ADJ', 'ADP', 'ADV', 'CONJ', 'DET', 'NOUN', 'NUM',
'PRON', 'PRT', 'PUNCT', 'VERB', 'X', 'AFFIX')

for token in tokens:
print(u'{}: {}'.format(POS_TAG[token.part_of_speech.tag],
print(u'{}: {}'.format(pos_tag[token.part_of_speech.tag],
token.text.content))


Expand Down