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Rogerio Guimaraes
In this one-hour project, you will understand how Azure Text Analytics works and how you can use the power of Natual Language Processing, NLP, and Machine Learning to extract information and explore insights from text. You will learn how to use Azure Text Analytics to extract entities' sentiments, key phrases, and other elements from text like product reviews, understand how the results are organized, manipulate the data and generate a report to explore the insights.
Read more
In this one-hour project, you will understand how Azure Text Analytics works and how you can use the power of Natual Language Processing, NLP, and Machine Learning to extract information and explore insights from text. You will learn how to use Azure Text Analytics to extract entities' sentiments, key phrases, and other elements from text like product reviews, understand how the results are organized, manipulate the data and generate a report to explore the insights.
Read more
In this one-hour project, you will understand how Azure Text Analytics works and how you can use the power of Natual Language Processing, NLP, and Machine Learning to extract information and explore insights from text. You will learn how to use Azure Text Analytics to extract entities' sentiments, key phrases, and other elements from text like product reviews, understand how the results are organized, manipulate the data and generate a report to explore the insights.
Azure Text Analytics is a fully managed service, and it is one of the most powerful Natural Language Processing engines in the market, so you can get up and running quickly, without having to train models from scratch.
Once you're done with this project, you will be able to use Azure Text Analytics to extract, analyze and explore insights in your documents in just a few steps.
Register for this course and see more details by visiting:
OpenCourser.com/course/dyadwy/explore
What's inside
Syllabus
Project Overview
In this one-hour project, you will understand how Azure Text Analytics works and how you can use the power of Natual Language Processing, NLP, and Machine Learning to extract information and explore insights from text. You will learn how to use Azure Text Analytics to extract entities' sentiments, key phrases, and other elements from text like product reviews, understand how the results are organized, manipulate the data and generate a report to explore the insights.
Azure Text Analytics is a fully managed service, and it is one of the most powerful Natural Language Processing engines in the market, so you can get up and running quickly, without having to train models from scratch.
Once you're done with this project, you will be able to use Azure Text Analytics to extract, analyze and explore insights in your documents in just a few steps.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops core NLP skills for business intelligence and analysis roles
Taught by Rogerio Guimaraes, an expert in data science and machine learning
Suitable for beginners with no prior NLP knowledge
Focuses on practical applications and hands-on exercises
Save this course
Save Explore insights in text analysis using Azure Text Analytics 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 Explore insights in text analysis using Azure Text Analytics with these
activities:
Review fundamental NLP concepts
Show steps
Strengthen your foundation by reviewing the core concepts of NLP.
Browse courses on
NLP
Show steps
-
Revisit your previous coursework or study materials on NLP.
-
Complete practice problems or quizzes to test your understanding.
-
Attend a refresher workshop or online course on NLP fundamentals.
Review 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Review this foundational NLP text to strengthen your grasp of core concepts and techniques used in Azure Text Analytics.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Read chapters 1-3 to understand the basics of NLP and Python.
-
Complete the practice exercises in each chapter to reinforce your understanding.
-
Summarize the key concepts covered in each chapter in your own words.
Organize and review course materials
Show steps
Enhance your retention and understanding by organizing and reviewing course materials.
Browse courses on
Organization
Show steps
-
Create a system for organizing notes, assignments, and other course materials.
-
Regularly review your organized materials to reinforce your learning.
-
Make annotations or summaries to deepen your understanding.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in online discussion forums or study groups
Show steps
Connect with fellow learners and exchange knowledge, insights, and support.
Browse courses on
NLP
Show steps
-
Join online forums or study groups related to NLP and Azure Text Analytics.
-
Actively participate in discussions, ask questions, and share your own knowledge.
-
Collaborate with others on projects or assignments.
Practice NLP tasks using Python's NLTK library
Show steps
Gain hands-on experience with NLP techniques by completing exercises using the industry-standard NLTK library.
Browse courses on
Natural Language Processing
Show steps
-
Install NLTK and import it into your Python environment.
-
Use NLTK to tokenize, stem, and lemmatize text.
-
Practice identifying parts of speech and named entities.
Follow tutorials on Azure Text Analytics
Show steps
Deepen your understanding of Azure Text Analytics by following guided tutorials that demonstrate its capabilities.
Show steps
-
Visit the Microsoft Learn platform and search for Azure Text Analytics tutorials.
-
Choose a tutorial that aligns with your interests and skill level.
-
Follow the tutorial steps and complete the accompanying exercises.
Write a blog post or article on NLP use cases
Show steps
Enhance your understanding and solidify your knowledge by writing about real-world applications of NLP.
Browse courses on
NLP
Show steps
-
Research different NLP use cases across various industries.
-
Identify a specific use case that interests you.
-
Write a blog post or article that explains the use case, its benefits, and potential challenges.
Build an NLP application using Azure Text Analytics
Show steps
Apply your knowledge by building a practical NLP application that leverages Azure Text Analytics.
Show steps
-
Define the scope and functionality of your application.
-
Design the architecture and choose the appropriate Azure services.
-
Implement the NLP functionality using Azure Text Analytics.
-
Deploy and test your application.
Review fundamental NLP concepts
Show steps
Strengthen your foundation by reviewing the core concepts of NLP.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Revisit your previous coursework or study materials on NLP.
- Complete practice problems or quizzes to test your understanding.
- Attend a refresher workshop or online course on NLP fundamentals.
Review 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Review this foundational NLP text to strengthen your grasp of core concepts and techniques used in Azure Text Analytics.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to understand the basics of NLP and Python.
- Complete the practice exercises in each chapter to reinforce your understanding.
- Summarize the key concepts covered in each chapter in your own words.
Organize and review course materials
Show steps
Enhance your retention and understanding by organizing and reviewing course materials.
Browse courses on
Organization
Show steps
Show steps
Show steps
- Create a system for organizing notes, assignments, and other course materials.
- Regularly review your organized materials to reinforce your learning.
- Make annotations or summaries to deepen your understanding.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Participate in online discussion forums or study groups
Show steps
Connect with fellow learners and exchange knowledge, insights, and support.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Join online forums or study groups related to NLP and Azure Text Analytics.
- Actively participate in discussions, ask questions, and share your own knowledge.
- Collaborate with others on projects or assignments.
Practice NLP tasks using Python's NLTK library
Show steps
Gain hands-on experience with NLP techniques by completing exercises using the industry-standard NLTK library.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Install NLTK and import it into your Python environment.
- Use NLTK to tokenize, stem, and lemmatize text.
- Practice identifying parts of speech and named entities.
Follow tutorials on Azure Text Analytics
Show steps
Deepen your understanding of Azure Text Analytics by following guided tutorials that demonstrate its capabilities.
Show steps
Show steps
Show steps
- Visit the Microsoft Learn platform and search for Azure Text Analytics tutorials.
- Choose a tutorial that aligns with your interests and skill level.
- Follow the tutorial steps and complete the accompanying exercises.
Write a blog post or article on NLP use cases
Show steps
Enhance your understanding and solidify your knowledge by writing about real-world applications of NLP.
Browse courses on
NLP
Show steps
Show steps
Show steps
- Research different NLP use cases across various industries.
- Identify a specific use case that interests you.
- Write a blog post or article that explains the use case, its benefits, and potential challenges.
Build an NLP application using Azure Text Analytics
Show steps
Apply your knowledge by building a practical NLP application that leverages Azure Text Analytics.
Show steps
Show steps
Show steps
- Define the scope and functionality of your application.
- Design the architecture and choose the appropriate Azure services.
- Implement the NLP functionality using Azure Text Analytics.
- Deploy and test your application.
Career center
Learners who complete Explore insights in text analysis using Azure Text Analytics will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting large datasets. Azure Text Analytics can be an extremely useful tool for a Data Scientist because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build machine learning models that can help businesses to make better decisions.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models. Azure Text Analytics can be used to build machine learning models that can extract insights from text data. This course can help you to develop the skills necessary to build machine learning models that can be used to solve business problems. These skills can be used to build models that can predict customer behavior, identify fraud, and improve customer service.
Natural Language Processing Engineer
Natural Language Processing Engineer
A Natural Language Processing Engineer is responsible for developing and deploying natural language processing systems. Azure Text Analytics can be used to build natural language processing systems that can extract insights from text data. This course can help you to develop the skills necessary to build natural language processing systems that can be used to solve business problems.
Data Analyst
Data Analyst
A Data Analyst is responsible for analyzing data to identify trends and patterns. Azure Text Analytics can be an extremely useful tool for a Data Analyst because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build reports that can help businesses to make better decisions.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business processes to identify areas for improvement. Azure Text Analytics can be an extremely useful tool for a Business Analyst because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to identify areas for improvement in business processes.
Information Architect
Information Architect
An Information Architect is responsible for designing and organizing information systems. Azure Text Analytics can be an extremely useful tool for an Information Architect because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to design information systems that are more user-friendly and efficient.
Knowledge Manager
Knowledge Manager
A Knowledge Manager is responsible for managing and organizing knowledge within an organization. Azure Text Analytics can be an extremely useful tool for a Knowledge Manager because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build knowledge management systems that are more effective and efficient.
Content Strategist
Content Strategist
A Content Strategist is responsible for developing and executing content strategies. Azure Text Analytics can be an extremely useful tool for a Content Strategist because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to develop content strategies that are more effective and engaging.
Technical Writer
Technical Writer
A Technical Writer is responsible for writing and editing technical documentation. Azure Text Analytics can be an extremely useful tool for a Technical Writer because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to write and edit technical documentation that is more accurate and easier to understand.
Editor
Editor
An Editor is responsible for editing and proofreading written content. Azure Text Analytics can be an extremely useful tool for an Editor because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to edit and proofread written content more efficiently.
Librarian
Librarian
A Librarian is responsible for organizing and managing library collections. Azure Text Analytics can be an extremely useful tool for a Librarian because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build library collections that are more relevant and accessible.
Archivist
Archivist
An Archivist is responsible for preserving and managing historical records. Azure Text Analytics can be an extremely useful tool for an Archivist because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build archives that are more accessible and informative.
Museum curator
Museum curator
A Museum Curator is responsible for managing and preserving museum collections. Azure Text Analytics can be an extremely useful tool for a Museum Curator because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to build museum collections that are more accessible and engaging.
Historian
Historian
A Historian is responsible for studying and interpreting the past. Azure Text Analytics can be an extremely useful tool for a Historian because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to write and edit historical documents that are more accurate and informative.
Teacher
Teacher
A Teacher is responsible for educating students at all levels. Azure Text Analytics can be an extremely useful tool for a Teacher because it can help to automate the process of extracting insights from text data. This course can help you to develop the skills necessary to extract entities, key phrases, and sentiments from text data. These skills can be used to create lesson plans that are more engaging and effective.
For more career information including salaries, visit:
OpenCourser.com/course/dyadwy/explore
Reading list
We've selected seven 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
Explore insights in text analysis using Azure Text Analytics.
Provides a comprehensive overview of speech and language processing. It valuable resource for anyone interested in learning more about the field.
Provides a comprehensive overview of natural language processing, from basic concepts to advanced techniques. It valuable resource for anyone interested in learning more about NLP.
Provides a practical guide to NLP. It valuable resource for anyone interested in using NLP for real-world applications.
Provides a practical guide to text analytics in Python. It valuable resource for anyone interested in using Python for NLP.
Provides a comprehensive overview of deep learning techniques for NLP. It valuable resource for anyone interested in learning more about the latest advances in NLP.
Practical guide to the Natural Language Toolkit (NLTK). It valuable resource for anyone interested in using NLTK for NLP.
Save
Provides a comprehensive overview of text mining techniques in R. It valuable resource for anyone interested in using R for NLP.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dyadwy/explore
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Rogerio Guimaraes
Language
English
Good to know
Develops core NLP skills for business intelligence and analysis roles
Taught by Rogerio Guimaraes, an expert in data science and machine learning
Suitable for beginners with no prior NLP knowledge
Focuses on practical applications and hands-on exercises
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