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amygdala merged 5 commits into from
Feb 13, 2018
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nl-intro updates #11

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nl-intro updates
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22 changes: 6 additions & 16 deletions ml/cloud_shell_tutorials/cloud-nl-intro/tutorial.md
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@@ -1,15 +1,5 @@
# Entity and Sentiment Analysis with the Natural Language API




## GSP038




![Rs8rJ9Ct1Xr7k8129HkD7h-HcMD5ttJX6NXaw70TwbqCbkh5S0Y1lr-AfND_9grwzgGxvMkmAjgziGRJ_qoqMKfwKG88fg7_IYXwxcQ-H6e_fkLTQ_ypbP4x-pMT9YzAuUb5clXc](https://lh3.googleusercontent.com/Rs8rJ9Ct1Xr7k8129HkD7h-HcMD5ttJX6NXaw70TwbqCbkh5S0Y1lr-AfND_9grwzgGxvMkmAjgziGRJ_qoqMKfwKG88fg7_IYXwxcQ-H6e_fkLTQ_ypbP4x-pMT9YzAuUb5clXc)

## Overview

The Cloud Natural Language API lets you extract entities from text, perform sentiment and syntactic analysis, and classify text into categories.
Expand All @@ -22,6 +12,8 @@ What you'll learn:
* Performing linguistic analysis on text with the Natural Language API
* Creating a Natural Language API request in a different language

![Natural Language API logo](https://storage.googleapis.com/aju-dev-demos-codelabs/images/NaturalLanguage_Retina_sm.png)

**Time to complete**: About 30 minutes

Click the **Continue** button to move to the next step.
Expand All @@ -36,15 +28,15 @@ To create an API key, navigate to:

**APIs & services > Credentials**:

![apis_and_services](https://storage.googleapis.com/aju-dev-demos-codelabs/apis_and_services.png)
![apis_and_services](https://storage.googleapis.com/aju-dev-demos-codelabs/images/apis_and_services.png)

Then click __Create credentials__:

![create_credentials1](https://storage.googleapis.com/aju-dev-demos-codelabs/create_credentials1.png)
![create_credentials1](https://storage.googleapis.com/aju-dev-demos-codelabs/images/create_credentials1.png)

In the drop-down menu, select __API key__:

![create_credentials2](https://storage.googleapis.com/aju-dev-demos-codelabs/create_credentials2.png)
![create_credentials2](https://storage.googleapis.com/aju-dev-demos-codelabs/images/create_credentials2.png)

Next, copy the key you just generated. Click __Close__.

Expand Down Expand Up @@ -379,7 +371,7 @@ Let's break down the response:
* `partOfSpeech` tells us that "Joanne" is a noun.
* `dependencyEdge` includes data that you can use to create a [dependency parse tree](https://en.wikipedia.org/wiki/Parse_tree#Dependency-based_parse_trees) of the text. Essentially, this is a diagram showing how words in a sentence relate to each other. A dependency parse tree for the sentence above would look like this:

![1fb62ed60618e914.png](img/1fb62ed60618e914.png)
![parse tree](https://storage.googleapis.com/aju-dev-demos-codelabs/images/parse_tree.png)

* `headTokenIndex` is the index of the token that has an arc pointing at "Joanne". We can think of each token in the sentence as a word in an array.
* `headTokenIndex` of 1 for "Joanne" refers to the word "Rowling," which it is connected to in the tree. The label `NN` (short for noun compound modifier) describes the word's role in the sentence. "Joanne" modifies "Rowling," the subject of the sentence.
Expand Down Expand Up @@ -478,8 +470,6 @@ You've learned how to perform text analysis with the Cloud Natural Language API
* Performing linguistic analysis on text to create dependency parse trees
* Creating a Natural Language API request in Japanese

![38616f8aa634e047.png](img/38616f8aa634e047.png)

#### Some next steps

* Sign up for the full [Coursera Course on Machine Learning](https://www.coursera.org/learn/serverless-machine-learning-gcp/)
Expand Down