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daspecster/test_language.py Secret

Last active March 28, 2017 16:58
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test_language.py
from google.cloud import language
from google.cloud import storage
storage_client = storage.Client()
bucket = storage_client.bucket('my-bucket24356uytrew')
blob = storage.Blob('sentiment-data.txt', bucket)
blob.upload_from_string(
'Google, headquartered in Mountain View, unveiled the '
'new Android phone at the Consumer Electronic Show. '
'Sundar Pichai said in his keynote that users love '
'their new Android phones.')
client = language.Client()
text_content = 'hola senior'
document = client.document_from_text(
text_content, language='es', encoding=language.Encoding.UTF16)
text_content = (
'Google, headquartered in Mountain View, unveiled the '
'new Android phone at the Consumer Electronic Show. '
'Sundar Pichai said in his keynote that users love '
'their new Android phones.')
document = client.document_from_text(text_content)
document.doc_type == language.Document.PLAIN_TEXT
"""
REPL Output:
True
"""
html_content = """\
<html>
<head>
<title>El Tiempo de las Historias</time>
</head>
<body>
<p>La vaca salt&oacute; sobre la luna.</p>
</body>
</html>
"""
document = client.document_from_html(html_content, language='es')
print(document)
"""
Output:
<google.cloud.language.document.Document object at 0x1056ee250>
"""
gcs_url = 'gs://my-bucket24356uytrew/ssentiment-data.txt'
document = client.document_from_url(
gcs_url, doc_type=language.Document.HTML)
document.gcs_url == gcs_url
document.doc_type == language.Document.PLAIN_TEXT
document = client.document_from_url(gcs_url, doc_type=language.Document.HTML)
print(document)
"""
Output:
<google.cloud.language.document.Document object at 0x108352250>
"""
text_content = ("Michelangelo Caravaggio, Italian painter, is "
"known for 'The Calling of Saint Matthew'.")
document = client.document_from_text(text_content)
entity_response = document.analyze_entities()
for entity in entity_response.entities:
print('=' * 20)
print(' name: %s' % (entity.name,))
print(' type: %s' % (entity.entity_type,))
print(' metadata: %s' % (entity.metadata,))
print(' salience: %s' % (entity.salience,))
"""
Output:
====================
name: Michelangelo Caravaggio
type: PERSON
metadata: {u'mid': u'/m/020bg', u'wikipedia_url': u'http://en.wikipedia.org/wiki/Caravaggio'}
salience: 0.81965727
====================
name: Italian
type: LOCATION
metadata: {u'mid': u'/m/03rjj', u'wikipedia_url': u'http://en.wikipedia.org/wiki/Italy'}
salience: 0.14426395
====================
name: The Calling of Saint Matthew
type: EVENT
metadata: {u'mid': u'/m/085_p7', u'wikipedia_url': u'http://en.wikipedia.org/wiki/The_Calling_of_St_Matthew_(Caravaggio)'}
salience: 0.036078777
"""
text_content = "Jogging isn't very fun."
document = client.document_from_text(text_content)
sentiment_response = document.analyze_sentiment()
sentiment = sentiment_response.sentiment
print(sentiment.score)
print(sentiment.magnitude)
"""
Output:
0
0
"""
text_content = 'The cow jumped over the Moon.'
document = client.document_from_text(text_content)
annotations = document.annotate_text()
# Sentences present if include_syntax=True
print(annotations.sentences)
['The cow jumped over the Moon.']
# Tokens present if include_syntax=True
for token in annotations.tokens:
msg = '%11s: %s' % (token.part_of_speech, token.text_content)
print(msg)
# Sentiment present if include_sentiment=True
print(annotations.sentiment.score)
print(annotations.sentiment.magnitude)
# Entities present if include_entities=True
for entity in annotations.entities:
print('=' * 20)
print(' name: %s' % (entity.name,))
print(' type: %s' % (entity.entity_type,))
print(' metadata: %s' % (entity.metadata,))
print(' salience: %s' % (entity.salience,))
"""
Output:
[<google.cloud.language.sentence.Sentence object at 0x108352390>]
DET: The
NOUN: cow
VERB: jumped
ADP: over
DET: the
NOUN: Moon
PUNCT: .
0
0
====================
name: cow
type: OTHER
metadata: {}
salience: 0.84928745
====================
name: Moon
type: LOCATION
metadata: {u'mid': u'/m/0d_23', u'wikipedia_url': u'http://en.wikipedia.org/wiki/Natural_satellite'}
salience: 0.15071256
"""
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