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Text Sentiment Analysis

Sebastian Thrun, Cezanne Camacho, Jay Alammar, Alexis Cook, Luis Serrano, Juan Delgado, and Ortal Arel
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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
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

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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 Text Sentiment Analysis with these activities:
Compile Resources on Sentiment Analysis and Movie Reviews
Enhance your knowledge and expand your resources by gathering and organizing relevant materials on sentiment analysis and movie reviews.
Browse courses on Sentiment Analysis
Show steps
  • Search for articles, tutorials, datasets, and other resources related to sentiment analysis.
  • Evaluate the quality and relevance of each resource.
  • Categorize and organize the resources based on topic or theme.
  • Create a repository or documentation that compiles the gathered resources.
Follow a Guided Tutorial on Building a Movie Review Sentiment Analyzer
Supplement your understanding of sentiment analysis by following a step-by-step tutorial that guides you through building a movie review sentiment analyzer using neural networks.
Browse courses on Sentiment Analysis
Show steps
  • Identify a suitable tutorial that aligns with your skill level.
  • Gather the necessary resources and prerequisites.
  • Follow the tutorial instructions carefully, implementing each step.
  • Test and refine your sentiment analyzer based on the tutorial's guidance.
Practice Sentiment Analysis on Movie Reviews
Reinforce your understanding of sentiment analysis techniques by working through practice problems involving movie reviews.
Browse courses on Sentiment Analysis
Show steps
  • Load and pre-process the movie review dataset.
  • Implement a simple neural network model for sentiment analysis.
  • Train and evaluate your model on the movie review dataset.
  • Analyze the performance of your model and identify areas for improvement.
Two other activities
Expand to see all activities and additional details
Show all five activities
Develop a Case Study on Sentiment Analysis for Movie Reviews
Deepen your understanding of sentiment analysis by conducting a case study that investigates the application of sentiment analysis techniques to movie reviews.
Browse courses on Sentiment Analysis
Show steps
  • Define the research question and objectives of your case study.
  • Collect and analyze a dataset of movie reviews.
  • Apply sentiment analysis techniques to the dataset and interpret the results.
  • Draw conclusions and make recommendations based on your findings.
  • Write a comprehensive report that documents your case study.
Start a Project to Apply Sentiment Analysis to a Real-World Problem
Gain practical experience by initiating a project that utilizes sentiment analysis techniques to address a real-world problem.
Browse courses on Sentiment Analysis
Show steps
  • Identify a real-world problem or domain that can benefit from sentiment analysis.
  • Gather and analyze a dataset relevant to the problem domain.
  • Design and implement a sentiment analysis solution that addresses the problem.
  • Evaluate the performance of your solution and make improvements as needed.
  • Deploy or present your solution to demonstrate its impact.

Career center

Learners who complete Text Sentiment Analysis will develop knowledge and skills that may be useful to these careers:
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.
See salaries and explore the career path for Machine Learning 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.
See salaries and explore the career path for Natural Language Processing Engineer
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.
See salaries and explore the career path for Data Scientist
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.
See salaries and explore the career path for Software Engineer
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.
See salaries and explore the career path for Customer Success Manager
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.
See salaries and explore the career path for Content Writer
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.
See salaries and explore the career path for Social Media 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.
See salaries and explore the career path for Public relations 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.
See salaries and explore the career path for Marketing 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.
See salaries and explore the career path for Sales Manager
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.
See salaries and explore the career path for Customer Service Representative
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.
See salaries and explore the career path for Technical Writer
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.
See salaries and explore the career path for Business Analyst
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.
See salaries and explore the career path for Product Manager
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.
See salaries and explore the career path for Market Researcher

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.
Cover image
Machine Learning with R
Save
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.
Machine Learning with R - Fourth Edition: Learn...
Paperback
$$
Machine Learning with R - Second Edition: Expert...
Kindle Edition
$$
Machine Learning with R - Third Edition: Expert...
Paperback
$$
(Italiano) Machine Learning con R: Conoscere le tecniche per...
Kindle Edition
$$
R: Unleash Machine Learning Techniques
Kindle Edition
$$$
Machine Learning with R: Learn How to Use R to...
Paperback
$$
(中文) Machine learning and R language (3rd edition of the...
Paperback
$$
Cover image
Deep Learning
Save
Provides a comprehensive overview of deep learning, covering the fundamentals of the field as well as advanced topics such as convolutional neural networks and recurrent neural networks. It valuable resource for students and researchers interested in learning more about deep learning.
Deep Learning
Paperback
$$$
Deep Learning (Adaptive Computation and Machine...
Hardcover
$$$
Deep Learning (Adaptive Computation and Machine...
Kindle Edition
$$$
Cover image
Natural Language Processing with Python
Save
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.
Natural Language Processing with Python: Analyzing...
Paperback
$$$
Natural Language Processing with Python: Analyzing...
Kindle Edition
$$
Cover image
Lifelong and Continual Learning Dialogue Systems
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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.
Lifelong and Continual Learning Dialogue Systems...
Hardcover
$$
Cover image
Text Mining with R
Save
Provides a comprehensive overview of text mining with R, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about text mining with R.
Text Mining with R
Paperback
Check
Text Mining with R
Kindle Edition
Check
Cover image
Foundations of Statistical Natural Language...
Save
Provides a comprehensive overview of natural language processing, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about NLP.
Foundations of Statistical Natural Language...
Hardcover
$$$
Foundations of Statistical Natural Language...
Kindle Edition
$$$
Cover image
Creative Convergence
Save
Provides a comprehensive overview of machine learning for text, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about machine learning for text.
Creative Convergence: The AI Renaissance in Art and...
Hardcover
$$$$
Creative Convergence: The AI Renaissance in Art and...
Kindle Edition
$$$$
Cover image
Deep Learning with TensorFlow and Keras
Save
Provides a comprehensive overview of deep learning with Python, covering the fundamentals of the field as well as advanced topics such as machine learning and deep learning. It valuable resource for students and researchers interested in learning more about deep learning with Python.
Deep Learning with TensorFlow and Keras - Third...
Paperback
$$
Deep Learning with TensorFlow 2 and Keras - Second...
Paperback
$$
Deep Learning with TensorFlow and Keras: Build and...
Kindle Edition
$$
Deep Learning with TensorFlow 2 and Keras:...
Kindle Edition
$$
Cover image
Grokking Deep Learning
Save
Provides a clear and concise introduction to deep learning, using intuitive explanations and visual examples to make the concepts easy to understand. It great resource for beginners who want to learn more about deep learning without getting bogged down in the details.
Grokking Deep Learning
Paperback
$$
Grokking Deep Learning
Kindle Edition
$$

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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
Traffic lights
Read about what's good
what should give you pause
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
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