What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? What is the relation between emotion, and reward value, and subjective feelings of pleasure? These are just some of the question considered in this book, written by a leading neuroscientist in this field.

What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? This book seeks explanations of emotion by considering these questions. Emotion continues to be a topic of enormous scientific interest. This new book, a successor to 'The Brain and Emotion', (OUP, 1998), describes the nature, functions, and brain mechanisms that underlie both emotion and motivation. 'Emotion Explained' goes beyond examining brain mechanisms of emotion, by proposing a theory of what emotions are, and an evolutionary, Darwinian, theory of the adaptive value of emotion. It also shows that there is a clear relationship between motivation and emotion. The book also examines how cognitive states can modulate emotions, and in turn, how emotions can influence cognitive states. It considers the role of sexual selection in the evolution of affective behaviour. It also examines emotion and decision making, with links to the burgeoning field of neuroeconomics. The book is also unique in considering emotion at several levels - the neurophysiological, neuroimaging, neuropsychological, behavioural, and computational neuroscience levels.

Preeminent psychologist Lisa Barrett lays out how the brain constructs emotions in a way that could revolutionize psychology, health care, the legal system, and our understanding of the human mind. “Fascinating . . . A thought-provoking journey into emotion science.”—The Wall Street Journal “A singular book, remarkable for the freshness of its ideas and the boldness and clarity with which they are presented.”—Scientific American “A brilliant and original book on the science of emotion, by the deepest thinker about this topic since Darwin.”—Daniel Gilbert, best-selling author of Stumbling on Happiness The science of emotion is in the midst of a revolution on par with the discovery of relativity in physics and natural selection in biology. Leading the charge is psychologist and neuroscientist Lisa Feldman Barrett, whose research overturns the long-standing belief that emotions are automatic, universal, and hardwired in different brain regions. Instead, Barrett shows, we construct each instance of emotion through a unique interplay of brain, body, and culture. A lucid report from the cutting edge of emotion science, How Emotions Are Made reveals the profound real-world consequences of this breakthrough for everything from neuroscience and medicine to the legal system and even national security, laying bare the immense implications of our latest and most intimate scientific revolution.

Celebrate feelings in all their shapes and sizes in this New York Times bestselling picture book from the Growing Hearts series! Happiness, sadness, bravery, anger, shyness . . . our hearts can feel so many feelings! Some make us feel as light as a balloon, others as heavy as an elephant. In My Heart explores a full range of emotions, describing how they feel physically, inside, with language that is lyrical but also direct to empower readers to practice articulating and identifying their own emotions. With whimsical illustrations and an irresistible die-cut heart that extends through each spread, this gorgeously packaged and unique feelings book is sure to become a storytime favorite.

What produces emotions? Why do we have emotions? How do we have emotions? Why do emotional states feel like something? What is the relation between emotion, and reward value, and subjective feelings of pleasure? How is the value of a good represented in the brain? Will neuroeconomics replace classical microeconomics? How does the brain implement decision-making? Are gene-defined rewards and emotions in the interests of the genes, and does rational multistep planning enable us to go beyond selfish genes to long-term plans and social contracts in the interests of the individual? This book seeks explanations of emotion and decision-making by considering these questions. The topics covered include: The nature of emotion, and a theory of emotion The functions of emotion, including a Darwinian theory of the adaptive value of emotion, which helps to illuminate many aspects of brain design and behaviour The brain mechanisms of emotion Affective states and motivated behaviour: hunger and sexual behaviour The pharmacology of emotion, and brain mechanisms for action Neuroeconomics, and the foundation of economic value Decision-making Emotional feelings, and consciousness Neural networks involved in emotion The book will be valuable for those in the fields of neuroscience and neurology, psychology, psychiatry, and philosophy

Emotions work to define who we are as well as shape what we do and this is no more powerfully at play than in the world of politics. Ahmed considers how emotions keep us invested in relationships of power, and also shows how this use of emotion could be crucial to areas such as feminist and queer politics. Debates on international terrorism, asylum and migration, as well as reconciliation and reparation, are explored through topical case studies. In this book the difficult issues are confronted head on. The Cultural Politics of Emotion is in dialogue with recent literature on emotions within gender studies, cultural studies, sociology, psychology and philosophy. Throughout the book, Ahmed develops a theory of how emotions work, and the effects they have on our day-to-day lives. New for this editionA substantial 15,000-word Afterword on 'Emotions and Their Objects' which provides an original contribution to the burgeoning field of affect studiesA revised BibliographyUpdated throughout.

Emotion: Theory, Research, and Experience, Volume 1: Theories of Emotion, presents broad theoretical perspectives representing all major schools of thought in the study of the nature of emotion. The contributions contained in the book are characterized under three major headings - evolutionary context, psychophysiological context, and dynamic context. Subjects that are discussed include general psycho-evolutionary theory of emotion; the affect system; the biology of emotions and other feelings; and emotions as transitory social roles. Psychologists, sociobiologists, sociologists, psychiatrists, ethologists, and students the allied fields will find the text a good reference material.

Kickstart your emotion analysis journey with this step-by-step guide to data science success Key Features Discover the inner workings of the end-to-end emotional analysis workflow Explore the use of various ML models to derive meaningful insights from data Hone your craft by building and tweaking complex emotion analysis models with practical projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionArtificial 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.What you will learn Distinguish between sentiment analysis and emotion analysis Master data preprocessing and ensure high-quality input Expand the use of data sources through data transformation Design models that employ cutting-edge deep learning techniques Discover how to tune your models’ hyperparameters Explore the use of naive Bayes, SVMs, DNNs, and transformers for advanced use cases Practice your newly acquired skills by working on real-world scenarios Who this book is forThis book is for data scientists and Python developers looking to gain insights into the customer feedback for their product, company, brand, governorship, and more. Basic knowledge of machine learning and Python programming is a must.

Learn to assess textual data and extract sentiments using various text analysis R packages KEY FEATURES ● In-depth coverage on core principles, challenges, and application of Emotion Analysis. ● Includes real-world examples to simplify practical uses of R, Shiny, and various popular NLP techniques. ● Covers different strategies used in Sentiment and Emotion Analysis. DESCRIPTION This book covers how to conduct Emotion Analysis based on Lexicons. Through a detailed code walkthrough, the book will explain how to develop systems for Sentiment and Emotion Analysis from popular sources of data, including WhatsApp, Twitter, etc. The book starts with a discussion on R programming and Shiny programming as these will lay the foundation for the system to be developed for Emotion Analysis. Then, the book discusses essentials of Sentiment Analysis and Emotion Analysis. The book then proceeds to build Shiny applications for Emotion Analysis. The book rounds off with creating a tool for Emotion Analysis from the data obtained from Twitter and WhatsApp. Emotion Analysis can be also performed using Machine Learning. However, this requires labeled data. This is a logical next step after reading this book. WHAT YOU WILL LEARN ● Learn the essentials of Sentiment Analysis. ● Learn the essentials of Emotion Analysis. ● Conducting Emotion Analysis using Lexicons. ● Learn to develop Shiny applications. ● Understanding the essentials of R programming for developing systems for Emotion Analysis. WHO THIS BOOK IS FOR This book aspires to teach NLP users, ML engineers, and AI engineers who want to develop a strong understanding of Emotion and Sentiment Analysis. No prior knowledge of R programming is needed. All you need is just an open mind to learn and explore this concept. TABLE OF CONTENTS Section 1 Introduction to R Programming 1 Getting Started with R 2 Simple Operations using R 3 Developing Simple Applications in R Section 2 Introduction to Shiny Programming 4 Structure of Shiny Applications 5 Shiny Application 1 6 Shiny Application 2 Section 3 Emotion Analysis 7 Sentiment Analysis 8 Emotion Analysis 9 ZEUSg Section 4 Twitter Data Analysis 10 Introduction to Twitter Data Analysis 11 Emotion Analysis on Twitter Data 12 Chidiya BONUS CHAPTER WhatsApp Chat Analysis

"You know how, since the dawn of humanity, great philosophers and poets have dedicated their entire lives to exploring concepts like love, life itself, logic, and sorrow? Well, those great philosophers and poets are dead now, so I win." — Shen Emotions Explained With Buff Dudes is your fully illustrated guide to the hyper-conflicted, tragicomic feelings of our age. Featuring the resilient, shaggy-haired Shen, this debut collection of Owlturd Comix is a tale of triumph and survival — of getting your ass kicked by sleep deprivation and student loans, but never losing hope. Most of all, it's an amusing, instructive journey through a vast array of emotions, including those best explained with dudes who are buff.