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Text Sentiment Analysis
Sebastian Thrun,
Cezanne Camacho,
Jay Alammar,
Alexis Cook,
Luis Serrano,
Juan Delgado,
and
Ortal Arel
Sebastian Thrun,
Cezanne Camacho,
Jay Alammar,
Alexis Cook,
Luis Serrano,
Juan Delgado,
and
Ortal Arel
Learn how to create a simple neural network for analyzing the sentiment (bad or good) in the text of movie reviews.
Register for this course and see more details by visiting:
OpenCourser.com/course/z7vgs9/text
What's inside
Syllabus
In this lesson, Andrew Trask, the author of Grokking Deep Learning, will walk you through using neural networks for sentiment analysis.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for students pursuing a career in artificial intelligence or machine learning
Covers a range of foundational concepts in natural language processing
Led by instructors who are recognized for their contributions to the field
Emphasizes hands-on learning through practical exercises and projects
Suitable for both beginners and those looking to strengthen their foundation in natural language processing
May require students to have some prior knowledge in Python programming
Save this course
Save Text Sentiment Analysis to your list so you can find it easily later:
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Activities
Coming soon
We're preparing activities for
Text Sentiment Analysis.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Text Sentiment Analysis will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
As a Machine Learning Engineer, you can work on building models that analyze text data, including sentiment analysis models. This course provides a great introduction to the fundamentals of sentiment analysis and neural networks, which are essential for building these models. You will learn how to design, train, and evaluate a sentiment analysis model, which is a valuable skill for any Machine Learning Engineer.
Natural Language Processing Engineer
Natural Language Processing Engineer
As a Natural Language Processing Engineer, you must build and maintain models that understand and generate human language. This course provides an overview of sentiment analysis, which is a key area of Natural Language Processing. You will learn how to build a sentiment analysis model, which is a valuable skill for any Natural Language Processing Engineer.
Data Scientist
Data Scientist
As a Data Scientist, you may need to analyze text data to extract insights. This course can help you build a foundation in sentiment analysis, which is a key skill for text analysis. You will learn how to use neural networks to analyze sentiment in text data, which is a valuable skill for any Data Scientist.
Software Engineer
Software Engineer
As a Software Engineer, you may need to develop applications that incorporate sentiment analysis. This course can help you build a foundation in sentiment analysis, which is a key area of Natural Language Processing. You will learn how to build a sentiment analysis model, which is a valuable skill for any Software Engineer who wants to work on Natural Language Processing applications.
Technical Writer
Technical Writer
As a Technical Writer, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Technical Writer who wants to create effective documentation.
Customer Success Manager
Customer Success Manager
As a Customer Success Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Customer Success Manager who wants to build successful relationships with customers.
Market Researcher
Market Researcher
As a Market Researcher, you may need to analyze text data to understand customer sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding market trends. You will learn how to build a sentiment analysis model, which is a valuable skill for any Market Researcher who wants to conduct effective research.
Public relations manager
Public relations manager
As a Public Relations Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Public Relations Manager who wants to build successful relationships with the public.
Social Media Manager
Social Media Manager
As a Social Media Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Social Media Manager who wants to build successful campaigns.
Customer Service Representative
Customer Service Representative
As a Customer Service Representative, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Customer Service Representative who wants to provide excellent customer service.
Marketing Manager
Marketing Manager
As a Marketing Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Marketing Manager who wants to build successful campaigns.
Content Writer
Content Writer
As a Content Writer, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Content Writer who wants to create effective content.
Sales Manager
Sales Manager
As a Sales Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Sales Manager who wants to build successful relationships with customers.
Business Analyst
Business Analyst
As a Business Analyst, you may need to analyze text data to understand customer sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer feedback. You will learn how to build a sentiment analysis model, which is a valuable skill for any Business Analyst who wants to work on customer insights.
Product Manager
Product Manager
As a Product Manager, you may need to analyze customer feedback to understand sentiment. This course can help you build a foundation in sentiment analysis, which is a key skill for understanding customer needs. You will learn how to build a sentiment analysis model, which is a valuable skill for any Product Manager who wants to build successful products.
For more career information including salaries, visit:
OpenCourser.com/course/z7vgs9/text
Reading list
We've selected nine 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
Text Sentiment Analysis.
Provides a comprehensive overview of machine learning with R, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about machine learning with R.
Save
Provides a comprehensive overview of deep learning, covering the fundamentals of the field as well as advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for students and researchers interested in learning more about deep learning.
Provides a comprehensive introduction to natural language processing, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about NLP.
Provides a comprehensive overview of sentiment analysis and opinion mining, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about sentiment analysis and opinion mining.
Save
Provides a comprehensive overview of text mining with R, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about text mining with R.
Provides a comprehensive overview of natural language processing, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about NLP.
Save
Provides a comprehensive overview of machine learning for text, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about machine learning for text.
Provides a comprehensive overview of deep learning with Python, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about deep learning with Python.
Provides a clear and concise introduction to deep learning, using intuitive explanations and visual examples to make the concepts easy to understand. It great resource for beginners who want to learn more about deep learning without getting bogged down in the details.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/z7vgs9/text
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Time
120 hours
Level
Advanced
Via
Udacity
Instructors
Sebastian Thrun
Cezanne Camacho
Jay Alammar
Alexis Cook
Luis Serrano
Juan Delgado
Ortal Arel
Language
English
Good to know
Suitable for students pursuing a career in artificial intelligence or machine learning
Covers a range of foundational concepts in natural language processing
Led by instructors who are recognized for their contributions to the field
Emphasizes hands-on learning through practical exercises and projects
Suitable for both beginners and those looking to strengthen their foundation in natural language processing
May require students to have some prior knowledge in Python programming
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