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Mark Nunnikhoven
Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.
Read more
Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.
Read more
Understanding what text means usually requires a human to read and think about the text. This course shows you how to use Amazon Comprehend's machine learning based models to programmatically draw insights and understanding from almost any text.
At the core of text analysis in the AWS Cloud is a thorough knowledge of Amazon Comprehend. In this course, Analyzing Text on AWS with Amazon Comprehend, you’ll learn how to use the service to extract insights and deep analysis about a given text. First, you’ll discover how the service is structured and common usage patterns for all of its features. Next, you’ll explore more advanced analysis concepts using an asynchronous request pattern. Finally, you’ll see how easy it can be to conduct complex topic modeling analysis. When you’re finished with this course, you’ll have a foundational knowledge of how to use Amazon Comprehend to analyze and understand any document set that will help you as you move forward and understand how to apply machine learning to real world problems.
Register for this course and see more details by visiting:
OpenCourser.com/course/kzkmc3/analyzing
What's inside
Syllabus
Course Overview
Introducing Amazon Comprehend & Natural Language Processing
The Basic Building Blocks of Analysis
Advanced Text Analysis
Read more
Syllabus
Course Overview
Introducing Amazon Comprehend & Natural Language Processing
The Basic Building Blocks of Analysis
Advanced Text Analysis
Read more
Discovering Document Topics
Security & Privacy Concerns
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores Amazon Comprehend, which is industry-standard technology for working with text analysis
Taught by Mark Nunnikhoven, who is recognized for their work with machine learning
Ideal audience includes students with an interest in data analysis in the cloud
Well-suited for students who have prior skill with software development
Provides a comprehensive overview of Amazon Comprehend's text analysis features
In-depth instruction on topics such as topic modeling and advanced analysis techniques
Save this course
Save Analyzing Text on AWS with Amazon Comprehend 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 Analyzing Text on AWS with Amazon Comprehend with these
activities:
Review foundational natural language processing concepts
Show steps
By reviewing foundational NLP concepts prior to taking the course, you'll reinforce core principles and familiarize yourself with key terminology, enhancing your understanding as you progress through the course.
Browse courses on
Natural Language Processing
Show steps
-
Read introductory articles or blog posts on NLP concepts.
-
Review lecture notes or textbooks from previous NLP courses or coursework.
-
Complete online tutorials or interactive exercises on NLP basics.
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Reviewing this comprehensive book on NLP with Python will provide you with a strong foundation in the field, enhancing your understanding of the concepts and techniques covered in the course.
View
Natural Language Processing with Python:...
on Amazon
Show steps
-
Obtain a copy of the book.
-
Read the relevant chapters or sections.
-
Complete the exercises and practice problems.
Review basic text processing concepts
Show steps
Refine your understanding of text processing concepts to prepare for this course.
Browse courses on
Text Processing
Show steps
-
Review concepts of tokenization, stemming, and lemmatization.
-
Explore different methods of feature extraction.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Organize and review course materials
Show steps
Organizing and reviewing course materials will help you stay on top of the content, identify key concepts, and reinforce your understanding as you progress through the course.
Show steps
-
Create a dedicated folder or notebook for course materials.
-
Download and save all lecture notes, assignments, and other relevant materials.
-
Review the materials regularly to reinforce your learning.
Organize and review course materials
Show steps
Stay organized and up-to-date by reviewing and compiling course materials.
Show steps
-
Gather notes, assignments, and other resources.
-
Organize materials into a logical structure.
-
Review materials regularly to reinforce learning.
Connect with experts in text analysis
Show steps
Seek guidance and support from experienced professionals in the field.
Browse courses on
Text Analysis
Show steps
-
Identify potential mentors through networking events or online platforms.
-
Reach out to mentors and express your interest in learning from them.
Follow tutorials on Amazon Comprehend features
Show steps
Enhance your knowledge of Amazon Comprehend's capabilities through guided tutorials.
Browse courses on
Amazon Comprehend
Show steps
-
Explore tutorials on using Amazon Comprehend's API.
-
Complete hands-on exercises provided in the tutorials.
-
Apply your learnings to analyze text data.
Complete practice exercises on text analysis
Show steps
Solidify your understanding of text analysis techniques through practice.
Browse courses on
Text Analysis
Show steps
-
Identify key concepts and entities within text.
-
Classify text into predefined categories.
-
Practice building and evaluating text analysis models.
Attend workshops on advanced text analysis techniques
Show steps
Expand your knowledge and skills through hands-on workshops led by industry experts.
Browse courses on
Text Analysis
Show steps
-
Research and identify relevant workshops.
-
Register and attend the workshops.
-
Actively participate and engage with the instructors and attendees.
Build a text analysis application using Amazon Comprehend
Show steps
Apply your skills to develop a practical application that leverages Amazon Comprehend.
Browse courses on
Text Analysis
Show steps
-
Define the requirements and scope of your application.
-
Design and implement the application using Amazon Comprehend APIs.
-
Test and evaluate your application's performance.
Contribute to open-source text analysis projects
Show steps
Gain practical experience and contribute to the development of text analysis tools.
Browse courses on
Open Source
Show steps
-
Identify open-source projects related to text analysis.
-
Review the project documentation and codebase.
-
Identify areas where you can contribute and submit pull requests.
Review foundational natural language processing concepts
Show steps
By reviewing foundational NLP concepts prior to taking the course, you'll reinforce core principles and familiarize yourself with key terminology, enhancing your understanding as you progress through the course.
Browse courses on
Natural Language Processing
Show steps
Show steps
Show steps
- Read introductory articles or blog posts on NLP concepts.
- Review lecture notes or textbooks from previous NLP courses or coursework.
- Complete online tutorials or interactive exercises on NLP basics.
Read 'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
Show steps
Reviewing this comprehensive book on NLP with Python will provide you with a strong foundation in the field, enhancing your understanding of the concepts and techniques covered in the course.
View
Natural Language Processing with Python:...
on Amazon
Show steps
Show steps
Show steps
- Obtain a copy of the book.
- Read the relevant chapters or sections.
- Complete the exercises and practice problems.
Review basic text processing concepts
Show steps
Refine your understanding of text processing concepts to prepare for this course.
Browse courses on
Text Processing
Show steps
Show steps
Show steps
- Review concepts of tokenization, stemming, and lemmatization.
- Explore different methods of feature extraction.
Eight other activities
Expand to see all activities and additional details
Show all 11 activities
Organize and review course materials
Show steps
Organizing and reviewing course materials will help you stay on top of the content, identify key concepts, and reinforce your understanding as you progress through the course.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials.
- Download and save all lecture notes, assignments, and other relevant materials.
- Review the materials regularly to reinforce your learning.
Organize and review course materials
Show steps
Stay organized and up-to-date by reviewing and compiling course materials.
Show steps
Show steps
Show steps
- Gather notes, assignments, and other resources.
- Organize materials into a logical structure.
- Review materials regularly to reinforce learning.
Connect with experts in text analysis
Show steps
Seek guidance and support from experienced professionals in the field.
Browse courses on
Text Analysis
Show steps
Show steps
Show steps
- Identify potential mentors through networking events or online platforms.
- Reach out to mentors and express your interest in learning from them.
Follow tutorials on Amazon Comprehend features
Show steps
Enhance your knowledge of Amazon Comprehend's capabilities through guided tutorials.
Browse courses on
Amazon Comprehend
Show steps
Show steps
Show steps
- Explore tutorials on using Amazon Comprehend's API.
- Complete hands-on exercises provided in the tutorials.
- Apply your learnings to analyze text data.
Complete practice exercises on text analysis
Show steps
Solidify your understanding of text analysis techniques through practice.
Browse courses on
Text Analysis
Show steps
Show steps
Show steps
- Identify key concepts and entities within text.
- Classify text into predefined categories.
- Practice building and evaluating text analysis models.
Attend workshops on advanced text analysis techniques
Show steps
Expand your knowledge and skills through hands-on workshops led by industry experts.
Browse courses on
Text Analysis
Show steps
Show steps
Show steps
- Research and identify relevant workshops.
- Register and attend the workshops.
- Actively participate and engage with the instructors and attendees.
Build a text analysis application using Amazon Comprehend
Show steps
Apply your skills to develop a practical application that leverages Amazon Comprehend.
Browse courses on
Text Analysis
Show steps
Show steps
Show steps
- Define the requirements and scope of your application.
- Design and implement the application using Amazon Comprehend APIs.
- Test and evaluate your application's performance.
Contribute to open-source text analysis projects
Show steps
Gain practical experience and contribute to the development of text analysis tools.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify open-source projects related to text analysis.
- Review the project documentation and codebase.
- Identify areas where you can contribute and submit pull requests.
Career center
Learners who complete Analyzing Text on AWS with Amazon Comprehend will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and maintain systems that leverage machine learning principles. This course will help build a strong foundation in machine learning as it relates to text analysis. It can also help you develop an intuition for what types of machine learning techniques are most effective for various text analysis tasks.
Content Strategist
Content Strategist
Content Strategists plan, create, and manage content for websites, social media, and other digital platforms. This course will help you build a strong foundation in text analysis, which will provide you with a complete understanding of how people use information and how to create effective content.
Information Architect
Information Architect
Information Architects design and organize websites, intranets, and other information systems to make them easy to find and use. This course will help you build a foundation in text analysis, which will provide you with a complete understanding of how people use information and how to create effective information architectures.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure that supports data storage and processing. This course will help you build a foundation for understanding the tools and techniques needed to build and manage scalable data pipelines for text analysis.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course may be useful as it provides a foundation for understanding the principles and practices of analyzing text data, which is a valuable skill for software engineers working on applications that use natural language processing.
Technical Writer
Technical Writer
Technical Writers create documentation that explains complex technical concepts to non-technical audiences. This course will help build a foundation for understanding the principles and practices of analyzing text data, which is a valuable skill for technical writers who need to understand the content they are writing about.
Information Security Analyst
Information Security Analyst
Information Security Analysts plan and implement security measures to protect an organization's computer networks and systems. This course may be useful as it will help you understand how to analyze text in order to understand topics within printed or written materials.
Taxonomist
Taxonomist
Taxonomists classify and name organisms. This course may be useful as it will help you understand how to analyze text in order to understand topics within printed or written materials.
Business Analyst
Business Analyst
Business Analysts help companies make informed decisions by identifying and analyzing business needs, developing solutions, and implementing change. This course will help build a foundation for understanding the tools and techniques needed for data analysis and can aid in effective decision making.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products or services. This course can help Product Managers gain insights into how customers interact with their products or services, which can be valuable for making informed decisions about product development.
Librarian
Librarian
Librarians help people find and access information. This course may be useful as it will help you understand how to analyze text in order to understand topics within printed or written materials.
Customer Success Manager
Customer Success Manager
Customer Success Managers help customers get the most value from their products or services. This course may be useful for building a foundation for understanding customer feedback.
Data Analyst
Data Analyst
Data Analysts play an important role in helping companies understand what's happening in their business and make data-driven decisions. This course will help build a foundation for understanding a problem statement, identifying a data strategy, working with data, and generating actionable insights.
Data Scientist
Data Scientist
Data Scientists apply statistical techniques to data, using machine learning and related algorithms. The findings are used to extract insights and support decision making. The insights often take the form of data visualization and reports. This course may be useful because it can help you build a foundation for identifying the most viable statistical techniques and how to apply it to a given data set.
Forensic Scientist
Forensic Scientist
Forensic Scientists analyze evidence to help solve crimes. This course may be useful as it can help you build a foundation for understanding how to analyze text data.
For more career information including salaries, visit:
OpenCourser.com/course/kzkmc3/analyzing
Reading list
We've selected eight 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
Analyzing Text on AWS with Amazon Comprehend.
Provides a comprehensive overview of natural language processing, covering a wide range of topics, including text analysis, machine learning, and deep learning. It is an excellent resource for anyone who wants to learn more about the field.
Provides a comprehensive overview of speech and language processing, covering a wide range of topics, including speech recognition, natural language understanding, and machine translation. It is an excellent resource for anyone who wants to learn more about the field.
Provides a comprehensive overview of natural language processing with Python, covering a wide range of topics, including text analysis, machine learning, and deep learning. It is an excellent resource for anyone who wants to learn more about the field.
Provides a comprehensive overview of machine learning for natural language processing, covering a wide range of topics, including text classification, machine translation, and question answering. It is an excellent resource for anyone who wants to learn more about the field.
Provides a comprehensive overview of deep learning for natural language processing, covering a wide range of topics, including text classification, machine translation, and question answering.
Save
Provides a comprehensive overview of natural language annotation for machine learning, covering a wide range of topics, including data collection, annotation techniques, and evaluation. It is an excellent resource for anyone who wants to learn more about the field.
Save
Provides a concise introduction to computational linguistics, covering a wide range of topics, including natural language processing and speech processing. It is an excellent resource for anyone who wants to learn more about the field.
Provides a hands-on introduction to natural language processing with Python, covering a wide range of topics, including text analysis, machine learning, and deep learning. It is an excellent resource for anyone who wants to learn more about the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kzkmc3/analyzing
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Time
128 hours
Level
Intermediate
Via
Pluralsight
Instructor
Mark Nunnikhoven
Language
English
This course belongs to a
collection
called
AWS Machine Learning / AI. It's comprised of nine courses:
- Getting Started with Amazon Lex
- Building a Voice-enabled Serverless Website with AWS Polly
- Translating Languages on AWS with Amazon Translate
- Developing Applications with AWS Rekognition
- Analyzing Text on AWS with Amazon Comprehend (viewing)
- Turning Speech into Text on AWS with Amazon Transcribe
- Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 1
- Deep Learning Instances and Frameworks on AWS
- Extracting Text and Data with Amazon Textract
Good to know
Explores Amazon Comprehend, which is industry-standard technology for working with text analysis
Taught by Mark Nunnikhoven, who is recognized for their work with machine learning
Ideal audience includes students with an interest in data analysis in the cloud
Well-suited for students who have prior skill with software development
Provides a comprehensive overview of Amazon Comprehend's text analysis features
In-depth instruction on topics such as topic modeling and advanced analysis techniques
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