Learn how to use the Natural Language API to predict entities, sentiment, and other attributes.
- [Instructor] For our next API,…we'll revisit the Cloud Natural Language API.…We'll use a familiar test harness in the browser here.…So this is text analysis and we…saw this in one of the earlier movies.…You can see we click this and we get the four vectors,…which are entities, sentiment, syntax, and categories.…Because I speak more than one language,…I thought it would be fun to try this…in one of my favorite languages.…So let's see which languages are supported.…You can see here as of this recording,…we have support for Chinese, simplified and traditional,…English, French, German, Italian, Japanese,…Korean, Portuguese, and Spanish.…
Note that the analyze entity sentiment and classify text…are only supported in English,…and this may change as we go along.…So, I have a favorite passage from a favorite movie…in German, and let's see what it does with it.…So this is from a movie called Wings of Desire.…It's a beautiful passage in German,…and I'm gonna go ahead and go back, and paste this.…Of course, I won't have to put the language…
- Hosting options: Serverless, containers, and virtual machines
- Enabling the GCP ML AIs
- Preparing data with Cloud Dataflow and Dataprep
- Modeling predictions for images, video, text to speech, and cloud translation
- Machine learning with AutoML
- Advanced machine learning and deep learning
- Machine learning architectures
Skill Level Intermediate
1. Machine Learning on Google Cloud Platform
2. Machine Learning API Services
3. Machine Learning with AutoML
Understand AutoML Vision4m 57s
4. Advanced Machine Learning
5. Machine Learning Architectures
Next steps1m 30s
- Mark as unwatched
- Mark all as unwatched
Are you sure you want to mark all the videos in this course as unwatched?
This will not affect your course history, your reports, or your certificates of completion for this course.Cancel
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
1:30Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.