Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Machine Learning for Emotion Analysis in Python
  • Table Of Contents Toc
Machine Learning for Emotion Analysis in Python

Machine Learning for Emotion Analysis in Python

By : Allan Ramsay, Tariq Ahmad
4.6 (5)
close
close
Machine Learning for Emotion Analysis in Python

Machine Learning for Emotion Analysis in Python

4.6 (5)
By: Allan Ramsay, Tariq Ahmad

Overview of this book

Artificial intelligence and machine learning are the technologies of the future, and this is the perfect time to tap into their potential and add value to your business. Machine Learning for Emotion Analysis in Python helps you employ these cutting-edge technologies in your customer feedback system and in turn grow your business exponentially. With this book, you’ll take your foundational data science skills and grow them in the exciting realm of emotion analysis. By following a practical approach, you’ll turn customer feedback into meaningful insights assisting you in making smart and data-driven business decisions. The book will help you understand how to preprocess data, build a serviceable dataset, and ensure top-notch data quality. Once you’re set up for success, you’ll explore complex ML techniques, uncovering the concepts of deep neural networks, support vector machines, conditional probabilities, and more. Finally, you’ll acquire practical knowledge using in-depth use cases showing how the experimental results can be transformed into real-life examples and how emotion mining can help track short- and long-term changes in public opinion. By the end of this book, you’ll be well-equipped to use emotion mining and analysis to drive business decisions.
Table of Contents (18 chapters)
close
close
1
Part 1:Essentials
3
Part 2:Building and Using a Dataset
7
Part 3:Approaches
14
Part 4:Case Study

Foundations

Emotions play a key role in our daily lives. Some people define them as the reactions that we as human beings experience as a response to events or situations, some describe them simply as a class of feelings, and others say they describe physiological states and are generated subconsciously. Psychologists describe emotions as “a complex state of feeling that results in physical and psychological changes that influence thought and behavior.” So, it appears that although we feel emotions, they are much harder to describe.

Our brains play a crucial role when creating and processing emotions. Historically, it was believed that each emotion was located in a specific part of the brain. However, research has shown that there is no single region of the brain that’s responsible for processing emotions – several brain regions are activated when emotions are being processed. Furthermore, different parts of the brain can generate the same emotion and different parts can also contribute to generating an emotion.

The reality may even be that emotion and sentiment are experiences that result from combined influences of biological, cognitive, and social aspects. Whatever the case, emotions matter because they help us decide what actions to do, how to negotiate tricky situations, and, at a basic level, how to survive. Different emotions rule our everyday lives; for example, we make decisions based on whether we are happy, angry, or sad, and we choose our daily pastimes and routines based on the emotions they facilitate. So, emotions are important, and understanding them may make our lives easier.

In this chapter, you will learn about the main concepts and differences between sentiment analysis and emotion analysis, and also understand why emotion analysis is important in the modern world. By combining this with a basic introduction to natural language processing (NLP) and machine learning, we will lay the foundations for successfully using these techniques for emotion analysis.

In this chapter, we’ll cover the following topics:

  • Emotions
  • Sentiment
  • Why is emotion analysis important?
  • Introduction to natural language processing
  • Introduction to machine learning
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Machine Learning for Emotion Analysis in Python
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon