This Python sample demonstrates the use of the Google Cloud Natural Language API for sentiment, entity, and syntax analysis.
Please follow the Set Up Your Project steps in the Quickstart doc to create a project and enable the Cloud Natural Language API. Following those steps, make sure that you Set Up a Service Account, and export the following environment variable:
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/your-project-credentials.json
Install pip if not already installed.
To run the example, install the necessary libraries using pip:
$ pip install -r requirements.txtThen, run the script:
$ python analyze.py <command> <text-string>where <command> is one of: entities, sentiment, or syntax.
The script will write to STDOUT the json returned from the API for the requested feature.
For example, if you run:
$ python analyze.py entities "Tom Sawyer is a book written by a guy known as Mark Twain."You will see something like the following returned:
{
"entities": [
{
"salience": 0.49785897,
"mentions": [
{
"text": {
"content": "Tom Sawyer",
"beginOffset": 0
}
}
],
"type": "PERSON",
"name": "Tom Sawyer",
"metadata": {
"wikipedia_url": "http://en.wikipedia.org/wiki/The_Adventures_of_Tom_Sawyer"
}
},
{
"salience": 0.12209519,
"mentions": [
{
"text": {
"content": "Mark Twain",
"beginOffset": 47
}
}
],
"type": "PERSON",
"name": "Mark Twain",
"metadata": {
"wikipedia_url": "http://en.wikipedia.org/wiki/Mark_Twain"
}
}
],
"language": "en"
}