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Commit 534c137

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gguussJon Wayne Parrott
gguuss
authored and
Jon Wayne Parrott
committed
Updates client library to version 0.23.0 (GoogleCloudPlatform#832)
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‎language/cloud-client/quickstart.py

Copy file name to clipboardExpand all lines: language/cloud-client/quickstart.py
+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ def run_quickstart():
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document = language_client.document_from_text(text)
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# Detects the sentiment of the text
31-
sentiment = document.analyze_sentiment()
31+
sentiment = document.analyze_sentiment().sentiment
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print('Text: {}'.format(text))
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print('Sentiment: {}, {}'.format(sentiment.score, sentiment.magnitude))

‎language/cloud-client/requirements.txt

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+1-1Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1 +1 @@
1-
google-cloud-language==0.22.2
1+
google-cloud-language==0.23

‎language/cloud-client/snippets.py

Copy file name to clipboardExpand all lines: language/cloud-client/snippets.py
+10-8Lines changed: 10 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -35,7 +35,7 @@ def sentiment_text(text):
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# Detects sentiment in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
38-
sentiment = document.analyze_sentiment()
38+
sentiment = document.analyze_sentiment().sentiment
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print('Score: {}'.format(sentiment.score))
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print('Magnitude: {}'.format(sentiment.magnitude))
@@ -50,7 +50,7 @@ def sentiment_file(gcs_uri):
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# Detects sentiment in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
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sentiment = document.analyze_sentiment()
53+
sentiment = document.analyze_sentiment().sentiment
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print('Score: {}'.format(sentiment.score))
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print('Magnitude: {}'.format(sentiment.magnitude))
@@ -65,15 +65,16 @@ def entities_text(text):
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# Detects entities in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
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entities = document.analyze_entities()
68+
entities = document.analyze_entities().entities
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for entity in entities:
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print('=' * 20)
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print('{:<16}: {}'.format('name', entity.name))
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print('{:<16}: {}'.format('type', entity.entity_type))
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print('{:<16}: {}'.format('wikipedia_url', entity.wikipedia_url))
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print('{:<16}: {}'.format('metadata', entity.metadata))
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print('{:<16}: {}'.format('salience', entity.salience))
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print('{:<16}: {}'.format('wikipedia_url',
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entity.metadata.get('wikipedia_url', '-')))
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def entities_file(gcs_uri):
@@ -85,15 +86,16 @@ def entities_file(gcs_uri):
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# Detects sentiment in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
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entities = document.analyze_entities()
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entities = document.analyze_entities().entities
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for entity in entities:
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print('=' * 20)
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print('{:<16}: {}'.format('name', entity.name))
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print('{:<16}: {}'.format('type', entity.entity_type))
94-
print('{:<16}: {}'.format('wikipedia_url', entity.wikipedia_url))
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print('{:<16}: {}'.format('metadata', entity.metadata))
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print('{:<16}: {}'.format('salience', entity.salience))
97+
print('{:<16}: {}'.format('wikipedia_url',
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entity.metadata.get('wikipedia_url', '-')))
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def syntax_text(text):
@@ -105,7 +107,7 @@ def syntax_text(text):
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# Detects syntax in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
108-
tokens = document.analyze_syntax()
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tokens = document.analyze_syntax().tokens
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for token in tokens:
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print('{}: {}'.format(token.part_of_speech, token.text_content))
@@ -120,7 +122,7 @@ def syntax_file(gcs_uri):
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# Detects syntax in the document. You can also analyze HTML with:
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# document.doc_type == language.Document.HTML
123-
tokens = document.analyze_syntax()
125+
tokens = document.analyze_syntax().tokens
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for token in tokens:
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print('{}: {}'.format(token.part_of_speech, token.text_content))

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