The Google Cloud Natural Language API can be used to reveal the structure and meaning of text via powerful machine learning models. You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage.
Note
This library currently does not run on Google App Engine Standard. We are actively working on adding this support.
In order to use this library, you first need to go through the following steps:
- Select or create a Cloud Platform project.
- Enable billing for your project.
- Enable the Google Cloud Language API.
- Setup Authentication.
Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.
With virtualenv, it's possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.
Python >= 3.6
Python == 2.7.
The last version of this library compatible with Python 2.7 is google-cloud-language=1.3.0
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-languagepip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-language- Read the Usage documentation for the language client to see available methods on the client.
- Read the Product documentation to learn more about the product and see How-to Guides.
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