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Using the Natural Language API from Google Docs

Google Cloud Training

This is a Google Cloud Self-Paced Lab. In this hands-on lab, you will use Apps Script to call the Natural Language API from Google Docs to analyze the sentiment of selected text in the document.

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What's inside

Syllabus

Using the Natural Language API from Google Docs

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners basic concepts of the Natural Language API and Google Cloud Platform. This strengthens a foundation for intermediate learners
Develops skills in natural language processing, which are core skills for data scientists and AI engineers
Offers hands-on labs, which allow learners to immediately apply their new knowledge

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Using the Natural Language API from Google Docs with these activities:
Review your notes and assignments from a previous course on natural language processing
Refresh your memory on key NLP concepts to prepare for this course.
Browse courses on Natural Language Processing
Show steps
  • Locate your previous notes and assignments
  • Review the materials
Analyze text sentiment using the Natural Language API
Develop your skills in using the Natural Language API by completing exercises.
Browse courses on Sentiment Analysis
Show steps
  • Find practice problems or exercises
  • Analyze text sentiment using the Natural Language API
  • Check your answers
Join a study group or discussion forum for this course
Engage with your peers to reinforce your understanding of course concepts.
Browse courses on Natural Language API
Show steps
  • Find a study group or discussion forum
  • Participate in discussions
  • Collaborate with your peers
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on using the Natural Language API in Apps Script
Gain hands-on experience with the Natural Language API by following a guided tutorial.
Browse courses on Apps Script
Show steps
  • Find a tutorial
  • Follow the tutorial step-by-step
  • Deploy the solution
Volunteer at a local organization that uses natural language processing
Gain practical experience in the field of natural language processing.
Browse courses on Natural Language Processing
Show steps
  • Identify volunteer opportunities
  • Apply for a volunteer position
  • Assist with natural language processing tasks
Create a compilation of resources on natural language processing
Expand your knowledge of natural language processing by gathering and organizing resources.
Browse courses on Natural Language Processing
Show steps
  • Identify relevant resources
  • Organize the resources into a compilation
  • Share the compilation with others
Build a web app that analyzes text sentiment
Demonstrate your understanding of the Natural Language API by building a real-world application.
Browse courses on Sentiment Analysis
Show steps
  • Create a Cloud Function
  • Connect the Cloud Function to the Natural Language API
  • Deploy your Cloud Function
  • Build a user interface for your web app
Create a text analysis tool
Apply your understanding of the Natural Language API to build a useful tool.
Browse courses on Sentiment Analysis
Show steps
  • Identify a problem to solve
  • Design your tool
  • Develop your tool
  • Deploy your tool

Career center

Learners who complete Using the Natural Language API from Google Docs will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
The Natural Language Processing Engineer is responsible for designing and developing natural language processing (NLP) systems. NLP systems are used to analyze and understand human language, and they are used in a variety of applications, such as machine translation, speech recognition, and text summarization. This course is highly relevant to the role of the Natural Language Processing Engineer, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many NLP applications.
See salaries and explore the career path for Natural Language Processing Engineer
Machine Learning Engineer
The Machine Learning Engineer is responsible for designing and developing machine learning models. Machine learning models are used to make predictions or decisions based on data, and they are used in a variety of applications, such as image recognition, fraud detection, and predictive analytics. This course is highly relevant to the role of the Machine Learning Engineer, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many machine learning applications.
See salaries and explore the career path for Machine Learning Engineer
Data Scientist
The Data Scientist is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. Data scientists use their findings to make recommendations and develop solutions to business problems. This course is highly relevant to the role of the Data Scientist, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many data science applications.
See salaries and explore the career path for Data Scientist
Software Engineer
The Software Engineer is responsible for designing, developing, and maintaining software applications. Software engineers use their knowledge of programming languages and software development tools to create software that meets the needs of users. This course is highly relevant to the role of the Software Engineer, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many software applications.
See salaries and explore the career path for Software Engineer
Product Manager
The Product Manager is responsible for defining and managing the product roadmap. Product managers work with engineers, designers, and other stakeholders to ensure that products are built to meet the needs of users. This course may be useful to the Product Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many product management applications.
See salaries and explore the career path for Product Manager
Business Analyst
The Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. Business analysts use their knowledge of business and technology to help organizations make better decisions. This course may be useful to the Business Analyst, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many business analysis applications.
See salaries and explore the career path for Business Analyst
Technical Writer
The Technical Writer is responsible for creating and maintaining technical documentation. Technical writers use their knowledge of writing and technology to create documentation that is clear and easy to understand. This course may be useful to the Technical Writer, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many technical writing applications.
See salaries and explore the career path for Technical Writer
Content Writer
The Content Writer is responsible for creating and maintaining content for websites and other digital platforms. Content writers use their knowledge of writing and digital marketing to create content that is engaging and informative. This course may be useful to the Content Writer, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many content writing applications.
See salaries and explore the career path for Content Writer
Financial Manager
The Financial Manager is responsible for planning, executing, and controlling the financial function of an organization. Financial managers work with their team to develop and implement financial plans, and they also track and measure the performance of their financial function. This course may be useful to the Financial Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many financial management applications.
See salaries and explore the career path for Financial Manager
Marketing Manager
The Marketing Manager is responsible for planning and executing marketing campaigns. Marketing managers work with their team to develop and implement marketing strategies, and they also track and measure the results of their campaigns. This course may be useful to the Marketing Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many marketing management applications.
See salaries and explore the career path for Marketing Manager
Project Manager
The Project Manager is responsible for planning, executing, and closing projects. Project managers work with their team to develop and execute project plans, and they also track and measure the progress of their projects. This course may be useful to the Project Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many project management applications.
See salaries and explore the career path for Project Manager
Sales Manager
The Sales Manager is responsible for leading and motivating a sales team. Sales managers work with their team to develop and execute sales strategies, and they also provide training and support. This course may be useful to the Sales Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many sales management applications.
See salaries and explore the career path for Sales Manager
Operations Manager
The Operations Manager is responsible for planning, executing, and controlling the day-to-day operations of an organization. Operations managers work with their team to develop and implement operational plans, and they also track and measure the performance of their operations. This course may be useful to the Operations Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many operations management applications.
See salaries and explore the career path for Operations Manager
Customer Success Manager
The Customer Success Manager is responsible for ensuring that customers are satisfied with their products and services. Customer success managers work with customers to identify and resolve issues, and they also provide training and support. This course may be useful to the Customer Success Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many customer success management applications.
See salaries and explore the career path for Customer Success Manager
Human Resources Manager
The Human Resources Manager is responsible for planning, executing, and controlling the human resources function of an organization. Human resources managers work with their team to develop and implement human resources policies, and they also track and measure the performance of their human resources function. This course may be useful to the Human Resources Manager, as it provides an introduction to the Natural Language API from Google Docs. This API can be used to analyze the sentiment of text, which is a key task in many human resources management applications.
See salaries and explore the career path for Human Resources Manager

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Using the Natural Language API from Google Docs.
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of natural language processing (NLP) techniques, including sentiment analysis. It valuable resource for anyone interested in learning more about NLP and its applications.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
(中文) Python Natural Language Processing(Chinese Edition)
Paperback
$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Cross-Lingual Word Embeddings
Save
Provides a comprehensive overview of deep learning techniques for natural language processing. It valuable resource for anyone interested in learning more about deep learning and its applications to NLP.
Cross-Lingual Word Embeddings (Synthesis Lectures...
Paperback
$$
Cover image
Lifelong and Continual Learning Dialogue Systems
Save
Provides a comprehensive overview of sentiment analysis and opinion mining. It covers a wide range of topics, including how to collect and prepare data, and how to build and evaluate sentiment analysis models.
Lifelong and Continual Learning Dialogue Systems...
Hardcover
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning techniques for natural language processing. It valuable resource for anyone interested in learning more about deep learning and its applications to NLP.
Automatic Speech Recognition: A Deep Learning...
Hardcover
$$$
Deep Learning: Methods and Applications...
Paperback
$$
Automatic Speech Recognition: A Deep Learning...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
Provides a comprehensive overview of natural language processing techniques, including sentiment analysis. It valuable resource for anyone interested in learning more about NLP and its applications.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Thinking with Deep Learning
Save
Provides a practical guide to using natural language processing for social science research. It covers a wide range of topics, including sentiment analysis.
Thinking with Deep Learning
Paperback
Check
Thinking with Deep Learning
Kindle Edition
Check

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Effort
45 Minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches learners basic concepts of the Natural Language API and Google Cloud Platform. This strengthens a foundation for intermediate learners
Develops skills in natural language processing, which are core skills for data scientists and AI engineers
Offers hands-on labs, which allow learners to immediately apply their new knowledge
Share and help others discover this course.
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