Overview

Natural language is the language that humans use to communicate with each other. Natural language processing (NLP) is a field of computer science that is concerned with the interaction between computers and human language. NLP research has the goal of enabling computers to understand and process human language in a way that is similar humans.

The Cloud Natural Language API is a cloud-based service that provides natural language processing capabilities. It can be used to analyze text, identify entities, extract information, and answer questions.

Cloud Natural Language API features

Entity Recognition: Identify entities in text, such as people, places, and things.

Sentiment Analysis: Analyze the sentiment of text, such as whether it is positive, negative, or neutral.

Information Extraction: Extract information from text, such as dates, times, and price.

Question Answering: Answer questions about text.

Integrated REST API: Access via REST API. Text can be uploaded in the request or integrated with Cloud Storage.

What you'll do

In this lab, you learn how to:

• Create an API key

• Use the Cloud Natural Language API to extract "entities" (e.g. people, places, and events) from a snippet of text

Setup and requirements

Before you click the Start Lab button

Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources are made available to you.

This hands-on lab lets you do the lab activities in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials you use to sign in and access Google Cloud for the duration of the lab.

To complete this lab, you need:

• Access to a standard internet browser (Chrome browser recommended).

Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.

• Time to complete the lab—remember, once you start, you cannot pause a lab.

Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.

How to start your lab and sign in to the Google Cloud console

1. Click the Start Lab button. If you need to pay for the lab, a dialog opens for you to select your payment method. On the left is the Lab Details pane with the following:

   • The Open Google Cloud console button

   • Time remaining

   • The temporary credentials that you must use for this lab

   • Other information, if needed, to step through this lab

2. Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).

   The lab spins up resources, and then opens another tab that shows the Sign in page.

   Tip: Arrange the tabs in separate windows, side-by-side.

   Note: If you see the Choose an account dialog, click Use Another Account.

3. If necessary, copy the Username below and paste it into the Sign in dialog.

    student-01-487239d5357e@qwiklabs.net
   

   You can also find the Username in the Lab Details pane.

4. Click Next.

5. Copy the Password below and paste it into the Welcome dialog.

    N3y8r9tOv896
   

   You can also find the Password in the Lab Details pane.

6. Click Next.

   Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials.

   Note: Using your own Google Cloud account for this lab may incur extra charges.

7. Click through the subsequent pages:

   • Accept the terms and conditions.

   • Do not add recovery options or two-factor authentication (because this is a temporary account).

   • Do not sign up for free trials.

After a few moments, the Google Cloud console opens in this tab.

Note: To access Google Cloud products and services, click the Navigation menu or type the service or product name in the Search field.

Activate Cloud Shell

Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.

1. Click Activate Cloud Shell at the top of the Google Cloud console.

2. Click through the following windows:

   • Continue through the Cloud Shell information window.

   • Authorize Cloud Shell to use your credentials to make Google Cloud API calls.

When you are connected, you are already authenticated, and the project is set to your Project_ID, qwiklabs-gcp-00-6f2e42f66d8e. The output contains a line that declares the Project_ID for this session:

Your Cloud Platform project in this session is set to qwiklabs-gcp-00-6f2e42f66d8e

gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.

3. (Optional) You can list the active account name with this command:

gcloud auth list

4. Click Authorize.

Output:

ACTIVE: *
ACCOUNT: student-01-487239d5357e@qwiklabs.net

To set the active account, run:
    $ gcloud config set account `ACCOUNT`

5. (Optional) You can list the project ID with this command:

gcloud config list project

Output:

[core]
project = qwiklabs-gcp-00-6f2e42f66d8e

Note: For full documentation of gcloud, in Google Cloud, refer to the gcloud CLI overview guide.

Task 1. Create an API key

1. First, you will set an environment variable with your PROJECT_ID which you will use throughout this lab:

export GOOGLE_CLOUD_PROJECT=$(gcloud config get-value core/project)

2. Next, create a new service account to access the Natural Language API:

gcloud iam service-accounts create my-natlang-sa \
  --display-name "my natural language service account"

3. Then, create credentials to log in as your new service account. Create these credentials and save it as a JSON file "~/key.json" by using the following command:

gcloud iam service-accounts keys create ~/key.json \
  --iam-account my-natlang-sa@${GOOGLE_CLOUD_PROJECT}.iam.gserviceaccount.com

4. Finally, set the GOOGLE_APPLICATION_CREDENTIALS environment variable. The environment variable should be set to the full path of the credentials JSON file you created, which you can see in the output from the previous command:

export GOOGLE_APPLICATION_CREDENTIALS="/home/USER/key.json"

Create an API Key

Check my progress

Task 2. Make an entity analysis request

In order to perform next steps please connect to the instance provisioned for you via ssh. Open the navigation menu and select Compute Engine. You should see the following provisioned linux instance:

1. Click on the SSH button. You will be brought to an interactive shell. Remain in this SSH session for the rest of the lab.

Now you'll try out the Natural Language API's entity analysis with the following sentence:

Michelangelo Caravaggio, Italian painter, is known for 'The Calling of Saint Matthew'

2. Run the following gcloud command:

gcloud ml language analyze-entities --content="Michelangelo Caravaggio, Italian painter, is known for 'The Calling of Saint Matthew'." > result.json

Make an Entity Analysis Request

Check my progress

3. Run the below command to preview the output of result.json file:

cat result.json

You should see a response similar to the following in the result.json file:

{
  "entities": [
    {
      "name": "Michelangelo Caravaggio",
      "type": "PERSON",
      "metadata": {
        "wikipedia_url": "http://en.wikipedia.org/wiki/Caravaggio",
        "mid": "/m/020bg"
      },
      "salience": 0.83047235,
      "mentions": [
        {
          "text": {
            "content": "Michelangelo Caravaggio",
            "beginOffset": 0
          },
          "type": "PROPER"
        },
        {
          "text": {
            "content": "painter",
            "beginOffset": 33
          },
          "type": "COMMON"
        }
      ]
    },
    {
      "name": "Italian",
      "type": "LOCATION",
      "metadata": {
        "mid": "/m/03rjj",
        "wikipedia_url": "http://en.wikipedia.org/wiki/Italy"
      },
      "salience": 0.13870546,
      "mentions": [
        {
          "text": {
            "content": "Italian",
            "beginOffset": 25
          },
          "type": "PROPER"
        }
      ]
    },
    {
      "name": "The Calling of Saint Matthew",
      "type": "EVENT",
      "metadata": {
        "mid": "/m/085_p7",
        "wikipedia_url": "http://en.wikipedia.org/wiki/The_Calling_of_St_Matthew_(Caravaggio)"
      },
      "salience": 0.030822212,
      "mentions": [
        {
          "text": {
            "content": "The Calling of Saint Matthew",
            "beginOffset": 69
          },
          "type": "PROPER"
        }
      ]
    }
  ],
  "language": "en"
}

Read through your results. For each "entity" in the response, you'll see:

• The entity name and type, a person, location, event, etc.

• metadata, an associated Wikipedia URL if there is one.

• salience, and the indices of where this entity appeared in the text. Salience is a number in the [0,1] range that refers to the centrality of the entity to the text as a whole.

• mentions, which is the same entity mentioned in different ways.

You've sent your first request to the Cloud Natural Language API.

---

Solution of Lab

Open link: https://console.cloud.google.com/compute/instances

curl -LO raw.githubusercontent.com/QUICK-GCP-LAB/2-Minutes-Labs-Solutions/main/Cloud%20Natural%20Language%20API%20Qwik%20Start/gsp097.sh
sudo chmod +x gsp097.sh
./gsp097.sh