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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
The Cloud Natural Language API lets you extract entities, and perform sentiment and syntactic analysis on a block of text. In this hands-on lab you’ll learn how to extract entities and sentiment from text using the Cloud Natural Language API.
Register for this course and see more details by visiting:
OpenCourser.com/course/ummaxs/entity
What's inside
Syllabus
Entity and Sentiment Analysis with the Natural Language API
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides hands-on experience with Google's Natural Language API
Focuses on practical applications of text analysis techniques
Suitable for learners interested in natural language processing and data analysis
Taught by Google experts, ensuring up-to-date industry knowledge
May require prior knowledge in text analysis or programming
Save this course
Save Entity and Sentiment Analysis with the Natural Language API to your list so you can find it easily later:
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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 Entity and Sentiment Analysis with the Natural Language API with these
activities:
Organize and review your course materials
Show steps
Effective organization and review of course materials can enhance your understanding and retention.
Show steps
-
Gather and organize your notes, assignments, and readings
-
Create a study schedule and stick to it
-
Review materials regularly and identify areas for improvement
Explore the official Google Cloud documentation
Show steps
Enhance your understanding of Cloud Natural Language API's features and functionalities by delving into the official documentation.
Show steps
-
Visit the Cloud Natural Language API documentation page
-
Read through the API's overview and quickstart guide
-
Explore specific API methods and reference information
Practice using the Cloud Natural Language API
Show steps
Reinforce your understanding of the API by completing hands-on exercises and experimenting with different API calls.
Show steps
-
Set up a Cloud Natural Language API project
-
Follow the API quickstart guide to make your first API call
-
Experiment with different API methods and parameters
-
Analyze real-world text data using the API
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in a Natural Language Processing (NLP) workshop
Show steps
Enhance your NLP skills, explore advanced techniques, and interact with industry professionals.
Show steps
-
Identify and register for a relevant NLP workshop
-
Attend the workshop and actively participate
-
Apply the techniques you learned to your own projects
Write a blog post or tutorial on using the Cloud Natural Language API
Show steps
Solidify your understanding by sharing your knowledge with others through a blog post or tutorial, helping you refine your comprehension and identify areas for improvement.
Show steps
-
Choose a specific aspect of the Cloud Natural Language API to focus on
-
Gather your thoughts and organize your content
-
Write a draft of your blog post or tutorial
-
Refine your content and add visuals or examples
-
Publish and promote your blog post or tutorial
Organize and review your course materials
Show steps
Effective organization and review of course materials can enhance your understanding and retention.
Show steps
Show steps
Show steps
- Gather and organize your notes, assignments, and readings
- Create a study schedule and stick to it
- Review materials regularly and identify areas for improvement
Explore the official Google Cloud documentation
Show steps
Enhance your understanding of Cloud Natural Language API's features and functionalities by delving into the official documentation.
Show steps
Show steps
Show steps
- Visit the Cloud Natural Language API documentation page
- Read through the API's overview and quickstart guide
- Explore specific API methods and reference information
Practice using the Cloud Natural Language API
Show steps
Reinforce your understanding of the API by completing hands-on exercises and experimenting with different API calls.
Show steps
Show steps
Show steps
- Set up a Cloud Natural Language API project
- Follow the API quickstart guide to make your first API call
- Experiment with different API methods and parameters
- Analyze real-world text data using the API
Two other activities
Expand to see all activities and additional details
Show all five activities
Participate in a Natural Language Processing (NLP) workshop
Show steps
Enhance your NLP skills, explore advanced techniques, and interact with industry professionals.
Show steps
Show steps
Show steps
- Identify and register for a relevant NLP workshop
- Attend the workshop and actively participate
- Apply the techniques you learned to your own projects
Write a blog post or tutorial on using the Cloud Natural Language API
Show steps
Solidify your understanding by sharing your knowledge with others through a blog post or tutorial, helping you refine your comprehension and identify areas for improvement.
Show steps
Show steps
Show steps
- Choose a specific aspect of the Cloud Natural Language API to focus on
- Gather your thoughts and organize your content
- Write a draft of your blog post or tutorial
- Refine your content and add visuals or examples
- Publish and promote your blog post or tutorial
Career center
Learners who complete Entity and Sentiment Analysis with the Natural Language API will develop knowledge and skills
that may be useful to these careers:
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers develop and maintain systems that can understand and generate human language. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to build NLP models. This course can help you build a foundation in natural language processing, which is a core skill for Natural Language Processing Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and maintain machine learning models. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to incorporate text data into your models. This course can help you build a foundation in natural language processing, which is a valuable skill for Machine Learning Engineers.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to extract insights from text data. This course can help you build a foundation in natural language processing, which is a valuable skill for Data Analysts.
Public Relations Specialist
Public Relations Specialist
Public Relations Specialists manage the public image of organizations. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Public Relations Specialists.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Technical Writers.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers achieve success with a product or service. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Customer Success Managers.
Market Researcher
Market Researcher
Market Researchers conduct research to understand consumer behavior. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Market Researchers.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate user interfaces. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for User Experience Designers.
Information Architect
Information Architect
Information Architects design and organize information systems. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Information Architects.
Social Media Manager
Social Media Manager
Social Media Managers plan and execute social media campaigns. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Social Media Managers.
Content Strategist
Content Strategist
Content Strategists develop and execute content strategies. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Content Strategists.
Digital Marketer
Digital Marketer
Digital Marketers plan and execute marketing campaigns. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Digital Marketers.
Business Analyst
Business Analyst
Business Analysts help organizations improve their performance. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Business Analysts.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make predictions. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to analyze text data and identify trends. This course can help you build a foundation in natural language processing, which is a valuable skill for Data Scientists.
Product Manager
Product Manager
Product Managers are responsible for developing and managing products. This course can help you develop the skills you need to succeed in this role, including how to use the Cloud Natural Language API to understand customer feedback and improve product design. This course can help you build a foundation in natural language processing, which is a valuable skill for Product Managers.
For more career information including salaries, visit:
OpenCourser.com/course/ummaxs/entity
Reading list
We've selected ten 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
Entity and Sentiment Analysis with the Natural Language API.
Provides a comprehensive overview of natural language processing, including techniques for entity and sentiment analysis. It valuable resource for anyone who wants to learn more about this field.
Provides a comprehensive overview of speech and language processing, with a focus on theoretical foundations and practical applications. It covers a wide range of topics, including phonetics, phonology, morphology, syntax, semantics, and pragmatics.
Provides a comprehensive overview of the statistical foundations of natural language processing. It covers a wide range of topics, including probability theory, machine learning, and natural language processing models.
Provides a hands-on guide to natural language processing using Python. It covers a wide range of topics, including entity extraction, sentiment analysis, and machine translation.
Provides a comprehensive overview of computational linguistics and text processing, with a focus on practical applications. It covers a wide range of topics, including natural language processing, machine learning, and artificial intelligence.
Provides a concise overview of the Natural Language Toolkit (NLTK), a popular Python library for natural language processing. It covers a wide range of topics, including tokenization, stemming, lemmatization, parsing, and sentiment analysis.
Provides a comprehensive overview of the Natural Language Toolkit (NLTK). It covers a wide range of topics, including entity extraction, sentiment analysis, and machine translation.
Provides a comprehensive overview of machine learning for natural language processing, with a focus on practical applications. It covers a wide range of topics, including natural language processing, machine learning, and artificial intelligence.
Provides a comprehensive overview of Hugging Face Transformers. It covers a wide range of topics, including entity extraction, sentiment analysis, and machine translation.
Provides a comprehensive overview of natural language processing using PyTorch. It covers a wide range of topics, including entity extraction, sentiment analysis, and machine translation.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ummaxs/entity
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Effort
40 minutes
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides hands-on experience with Google's Natural Language API
Focuses on practical applications of text analysis techniques
Suitable for learners interested in natural language processing and data analysis
Taught by Google experts, ensuring up-to-date industry knowledge
May require prior knowledge in text analysis or programming
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