These samples show how to use the Google Cloud Natural Language API to analyze text.
Authentication is typically done through Application Default Credentials which means you do not have to change the code to authenticate as long as your environment has credentials. You have a few options for setting up authentication:
-
When running locally, use the Google Cloud SDK
gcloud auth application-default login -
When running on App Engine or Compute Engine, credentials are already set-up. However, you may need to configure your Compute Engine instance with additional scopes.
-
You can create a Service Account key file. This file can be used to authenticate to Google Cloud Platform services from any environment. To use the file, set the
GOOGLE_APPLICATION_CREDENTIALSenvironment variable to the path to the key file, for example:export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service_account.json
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Install dependencies via Composer. Run
php composer.phar install(if composer is installed locally) orcomposer install(if composer is installed globally). -
Create a service account at the Service account section in the Cloud Console
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Download the json key file of the service account.
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Set
GOOGLE_APPLICATION_CREDENTIALSenvironment variable pointing to that file. -
If you are using the Analyze Entity Sentiment or Classify Text features, you will need to install and enable the gRPC extension for PHP.
To run the Natural Language Samples:
$ php language.php
Cloud Natural Language
Usage:
command [options] [arguments]
Options:
-h, --help Display this help message
-q, --quiet Do not output any message
-V, --version Display this application version
--ansi Force ANSI output
--no-ansi Disable ANSI output
-n, --no-interaction Do not ask any interactive question
-v|vv|vvv, --verbose Increase the verbosity of messages: 1 for normal output, 2 for more verbose output and 3 for debug
Available commands:
all Analyze syntax, sentiment and entities in text.
entities Analyze entities in text.
help Displays help for a command
list Lists commands
sentiment Analyze sentiment in text.
syntax Analyze syntax in text.
entity-sentiment Analyze sentiment of entities in text.
classify Classify text into categories.
To run the Analyze Entities sample:
$ php language.php entities 'I know the way to San Jose. Do You?'
entities:
-
name: way
type: OTHER
metadata: { }
salience: 0.6970506
mentions:
-
text:
content: way
beginOffset: 11
type: COMMON
-
name: 'San Jose'
type: LOCATION
metadata:
mid: /m/0f04v
wikipedia_url: 'http://en.wikipedia.org/wiki/San_Jose,_California'
salience: 0.30294943
mentions:
-
text:
content: 'San Jose'
beginOffset: 18
type: PROPER
language: en
To run the Analyze Sentiment sample:
$ php language.php sentiment 'I know the way to San Jose. Do you?'
documentSentiment:
magnitude: 0.3
score: 0.3
language: en
sentences:
-
text:
content: 'I know the way to San Jose'
beginOffset: 0
sentiment:
magnitude: 0.3
score: 0.3
-
text:
content: 'Do you?'
beginOffset: 28
sentiment:
magnitude: 0.1
score: -0.1
To run the Analyze Syntax sample:
$ php language.php syntax 'I know the way to San Jose. Do you?'
sentences:
-
text:
content: 'I know the way to San Jose.'
beginOffset: 0
-
text:
content: 'Do you?'
beginOffset: 28
tokens:
-
text:
content: I
beginOffset: 0
partOfSpeech:
tag: PRON
aspect: ASPECT_UNKNOWN
case: NOMINATIVE
form: FORM_UNKNOWN
gender: GENDER_UNKNOWN
mood: MOOD_UNKNOWN
number: SINGULAR
person: FIRST
proper: PROPER_UNKNOWN
reciprocity: RECIPROCITY_UNKNOWN
tense: TENSE_UNKNOWN
voice: VOICE_UNKNOWN
dependencyEdge:
headTokenIndex: 1
label: NSUBJ
lemma: I
score: 0.3
...
language: en
entities: { }
To run the Analyze Entity Sentiment sample:
$ php language.php entity-sentiment 'New York is great. New York is good.'
Entity Name: New York
Entity Type: LOCATION
Entity Salience: 1
Entity Magnitude: 1.7999999523163
Entity Score: 0
Mentions:
Begin Offset: 0
Content: New York
Mention Type: PROPER
Mention Magnitude: 0.89999997615814
Mention Score: 0.89999997615814
Begin Offset: 17
Content: New York
Mention Type: PROPER
Mention Magnitude: 0.80000001192093
Mention Score: -0.80000001192093
To run the Classify Text sample:
$ php language.php classify 'The first two gubernatorial elections since
President Donald Trump took office went in favor of Democratic candidates
in Virginia and New Jersey.'
Category Name: /News/Politics
Confidence: 0.99000000953674
This sample uses the Google Cloud Client Library for PHP. You can read the documentation for more details on API usage and use GitHub to browse the source and report issues.
If you get the following error, set the environment variable GCLOUD_PROJECT to your project ID:
[Google\Cloud\Core\Exception\GoogleException]
No project ID was provided, and we were unable to detect a default project ID.
If you have not set a timezone you may get an error from php. This can be resolved by:
- Finding where the php.ini is stored by running php -i | grep 'Configuration File'
- Finding out your timezone from the list on this page: http://php.net/manual/en/timezones.php
- Editing the php.ini file (or creating one if it doesn't exist)
- Adding the timezone to the php.ini file e.g., adding the following line: date.timezone = "America/Los_Angeles"

