Author: Robert Kohtes Publisher: Anchor Academic Publishing (aap_verlag) ISBN: 3954896451 Category : Business & Economics Languages : en Pages : 78
Book Description
The growing number of user-generated content that can be found online has led to a huge amount of data that can be used for scientific research. This book investigates the prediction of certain human-related events using valences and emotions expressed in user-generated content with regard to past and current research. First, the theoretical framework of user-generated content and sentiment detection- and classification methods is explained, before empirical literature is categorized into three specific prediction subjects. This is followed by a comprehensive analysis including a comparison of prediction methods, consistency, and limitations with respect to each of the three predictive sources.
Author: Quanzeng You Publisher: ISBN: Category : Languages : en Pages : 179
Book Description
"Social multimedia refers to the multimedia content generated by online social network users. The increasing popularity of online social networks accumulates large amounts of social network activity records, making the analysis of online social activities possible. In particular, we research the problem of whether online user' generated content can be employed to understand people's real world lives. The large scale data have attracted people from both industrial and academic communities to mine interesting patterns from the hidden signals in the online users' activities. Researchers have successfully employed the signals extracted from social network content to finish tasks in a wide range of applications, including real world activity prediction and content recommendation. From this perspective, we can view social multimedia as sensors, which provide online signals reflecting people's real world activities. This thesis focuses on sentiment analysis of online social multimedia content. We first propose two approaches to visual sentiment analysis, which is directed to predict human beings' responses towards visual stimuli. Next, we build currently the largest visual emotion dataset, where each image is labeled by five Amazon Mechanical Turkers. Because the lack of high-quality dataset is one of the main difficulties in building effective machine learning models, we expect the release of this dataset will benefit the research community by empowering the development of efficient algorithms for visual emotion analysis. We then conduct a multimodality sentiment analysis. Two different approaches are proposed. The first approach tries to enforce a consistency between the prediction results from textual and visual signal respectively. The second method attempts to match textual and visual concepts and produces robust representations for the sentiment classification model. Furthermore, we try to automatically generate sentiment-bearing image captions with different sentiment labels. The results suggest that the model can focus on different image regions to produce the matching sentiment related descriptions."--Pages xiv-xv.
Author: Bing Liu Publisher: Cambridge University Press ISBN: 1108787282 Category : Computers Languages : en Pages : 451
Book Description
Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.
Author: John R. Nofsinger Publisher: Routledge ISBN: 1315506564 Category : Business & Economics Languages : en Pages : 161
Book Description
A supplement for undergraduate and graduate Investments courses. See the decision-making process behind investments. The Psychology of Investing is the first text of its kind to delve into the fascinating subject of how psychology affects investing. Its unique coverage describes how investors actually behave, the reasons and causes of that behavior, why the behavior hurts their wealth, and what they can do about it. Features: What really moves the market: Understanding the psychological aspects. Traditional finance texts focus on developing the tools that investors use for calculating risk and return. The Psychology of Investing is one of the first texts to delve into how psychology affects investing rather than solely focusing on traditional financial theory. This text’s material, however, does not replace traditional investment textbooks but complements them, helping students become better informed investors who understand what motivates the market. Keep learning consistent: Most of the chapters are organized in a similar succession. This approach adheres to following order: -A psychological bias is described and illustrated with everyday behavior -The effect of the bias on investment decisions is explained -Academic studies are used to show why investors need to remedy the problem Growing with the subject matter: Current and fresh information. Because data on investor psychology is rapidly increasing, the fifth edition contains many new additions to keep students up-to-date. The new Chapter 12: Psychology in the Mortgage Crisis describes the psychology involved in the mortgage industry and ensuing financial crisis. New sections and sub-sections include “Buying Back Stock Previously Sold”, “Who Is Overconfident,” "Nature or Nurture?”, "Preferred Risk Habitat," "Market Impacts," "Language," and “Reference Point Adaptation.”
Author: Herbert L. Meiselman Publisher: Woodhead Publishing ISBN: 0128231998 Category : Psychology Languages : en Pages : 1046
Book Description
Emotion Measurement, Second Edition highlights key elements of emotions that should be considered in the measurement of emotions in both academic and commercial environments. This edition begins with an updated review of basic studies of emotion, including the theory, physiology, and psychology of emotions, as these are the foundational studies which food scientists as well as product developers and marketing professionals need to be aware of. The second section highlights methods for studying emotions, and reviews the different approaches to emotion measurement: questionnaire self-report, behavioral, and physiological. This section explores the merits of intrinsic versus extrinsic measures of emotion. Some new measurement approaches have emerged since the first edition of this book. The book then presents practical applications, with chapters on emotion research in food and beverage, as well as in a range of products and clinical settings. The experience in testing product emotions has increased since the first edition when product emotion research was newer. Finally, Emotion Measurement, Second Edition provides coverage of cross-cultural research on emotions. This is critical because much of the newer commercial research is aimed at markets around the world, requiring methods that work in many cultures. And the universality of emotions has been a topic of research for decades. Taking both an academic and applied approach, Emotion Measurement, Second Edition will be an invaluable reference for those conducting basic academic research on emotions and for sensory and consumer scientists, and the product developers and marketing professionals they work alongside. Reviews both the academic and the applied strands of emotion measurement research Focuses on cross-cultural studies of emotions, which is currently lacking from most of the literature in the field Highlights methods for studying emotions in both basic and applied studies
Author: Thomas Parr Publisher: MIT Press ISBN: 0262362287 Category : Science Languages : en Pages : 313
Book Description
The first comprehensive treatment of active inference, an integrative perspective on brain, cognition, and behavior used across multiple disciplines. Active inference is a way of understanding sentient behavior—a theory that characterizes perception, planning, and action in terms of probabilistic inference. Developed by theoretical neuroscientist Karl Friston over years of groundbreaking research, active inference provides an integrated perspective on brain, cognition, and behavior that is increasingly used across multiple disciplines including neuroscience, psychology, and philosophy. Active inference puts the action into perception. This book offers the first comprehensive treatment of active inference, covering theory, applications, and cognitive domains. Active inference is a “first principles” approach to understanding behavior and the brain, framed in terms of a single imperative to minimize free energy. The book emphasizes the implications of the free energy principle for understanding how the brain works. It first introduces active inference both conceptually and formally, contextualizing it within current theories of cognition. It then provides specific examples of computational models that use active inference to explain such cognitive phenomena as perception, attention, memory, and planning.
Author: George E. Marcus Publisher: University of Chicago Press ISBN: 0226574431 Category : Psychology Languages : en Pages : 461
Book Description
Passion and emotion run deep in politics, but researchers have only recently begun to study how they influence our political thinking. Contending that the long-standing neglect of such feelings has left unfortunate gaps in our understanding of political behavior, The Affect Effect fills the void by providing a comprehensive overview of current research on emotion in politics and where it is likely to lead. In sixteen seamlessly integrated essays, thirty top scholars approach this topic from a broad array of angles that address four major themes. The first section outlines the philosophical and neuroscientific foundations of emotion in politics, while the second focuses on how emotions function within and among individuals. The final two sections branch out to explore how politics work at the societal level and suggest the next steps in modeling, research, and political activity itself. Opening up new paths of inquiry in an exciting new field, this volume will appeal not only to scholars of American politics and political behavior, but also to anyone interested in political psychology and sociology.
Author: Bing Liu Publisher: Springer Nature ISBN: 3031021452 Category : Computers Languages : en Pages : 167
Book Description
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Author: Andy Clark Publisher: Oxford University Press, USA ISBN: 0190217014 Category : Medical Languages : en Pages : 425
Book Description
Exciting new theories in neuroscience, psychology, and artificial intelligence are revealing minds like ours as predictive minds, forever trying to guess the incoming streams of sensory stimulation before they arrive. In this up-to-the-minute treatment, philosopher and cognitive scientist Andy Clark explores new ways of thinking about perception, action, and the embodied mind.
Author: Robert Kohtes
Author: Quanzeng You
Author: Bing Liu
Author: John R. Nofsinger
Author: Herbert L. Meiselman
Author: Thomas Parr
Author: George E. Marcus
Author: Bing Liu
Author: Andy Clark
Author: Tilmann Habermas