Emotion PDF Download

Author: Dylan Evans
Publisher: Oxford University Press, USA
ISBN: 9780192853769
Category : Emotions
Languages : en
Pages : 228

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Book Description
From Darwin to "Star Trek", Evans offers a lively look at the science of emotions and finds that whether we live in the shadow of Times Square or in the depths of the rain forest, all humans feel disgust, joy, surprise, anger, fear, and distress. 20 halftones.

Author: Emma Rothschild
Publisher: Harvard University Press
ISBN: 0674725611
Category : Business & Economics
Languages : en
Pages : 366

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Book Description
A benchmark in the history of economics and of political ideas, Rothschild shows us the origins of laissez-faire economic thought and its relation to political conseratism in an unquiet world.

Author: Charles Rosen
Publisher: Yale University Press
ISBN: 0300168373
Category : Music
Languages : en
Pages : 156

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Book Description
How does a work of music stir the senses, creating feelings of joy, sadness, elation, or nostalgia? Though sentiment and emotion play a vital role in the composition, performance, and appreciation of music, rarely have these elements been fully observed. In this succinct and penetrating book, Charles Rosen draws upon more than a half century as a performer and critic to reveal how composers from Bach to Berg have used sound to represent and communicate emotion in mystifyingly beautiful ways.Through a range of musical examples, Rosen details the array of stylistic devices and techniques used to represent or convey sentiment. This is not, however, a listener’s guide to any “correct” response to a particular piece. Instead, Rosen provides the tools and terms with which to appreciate this central aspect of musical aesthetics, and indeed explores the phenomenon of contradictory sentiments embodied in a single motif or melody. Taking examples from Chopin, Schumann, Wagner, and Liszt, he traces the use of radically changing intensities in the Romantic works of the nineteenth century and devotes an entire chapter to the key of C minor. He identifies a “unity of sentiment” in Baroque music and goes on to contrast it with the “obsessive sentiments” of later composers including Puccini, Strauss, and Stravinsky. A profound and moving work, Music and Sentiment is an invitation to a greater appreciation of the crafts of composition and performance.

Author: Richard L. Peterson
Publisher: John Wiley & Sons
ISBN: 1119163757
Category : Business & Economics
Languages : en
Pages : 317

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Book Description
In his debut book on trading psychology, Inside the Investor’s Brain, Richard Peterson demonstrated how managing emotions helps top investors outperform. Now, in Trading on Sentiment, he takes you inside the science of crowd psychology and demonstrates that not only do price patterns exist, but the most predictable ones are rooted in our shared human nature. Peterson’s team developed text analysis engines to mine data - topics, beliefs, and emotions - from social media. Based on that data, they put together a market-neutral social media-based hedge fund that beat the S&P 500 by more than twenty-four percent—through the 2008 financial crisis. In this groundbreaking guide, he shows you how they did it and why it worked. Applying algorithms to social media data opened up an unprecedented world of insight into the elusive patterns of investor sentiment driving repeating market moves. Inside, you gain a privileged look at the media content that moves investors, along with time-tested techniques to make the smart moves—even when it doesn’t feel right. This book digs underneath technicals and fundamentals to explain the primary mover of market prices - the global information flow and how investors react to it. It provides the expert guidance you need to develop a competitive edge, manage risk, and overcome our sometimes-flawed human nature. Learn how traders are using sentiment analysis and statistical tools to extract value from media data in order to: Foresee important price moves using an understanding of how investors process news. Make more profitable investment decisions by identifying when prices are trending, when trends are turning, and when sharp market moves are likely to reverse. Use media sentiment to improve value and momentum investing returns. Avoid the pitfalls of unique price patterns found in commodities, currencies, and during speculative bubbles Trading on Sentiment deepens your understanding of markets and supplies you with the tools and techniques to beat global markets— whether they’re going up, down, or sideways.

Author: Jamie Saettele
Publisher: John Wiley & Sons
ISBN: 0470208236
Category : Business & Economics
Languages : en
Pages : 208

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Book Description
Crowds move markets and at major market turning points, the crowds are almost always wrong. When crowd sentiment is overwhelmingly positive or overwhelmingly negative ? it's a signal that the trend is exhausted and the market is ready to move powerfully in the opposite direction. Sentiment has long been a tool used by equity, futures, and options traders. In Sentiment in the Forex Market, FXCM analyst Jaime Saettele applies sentiment analysis to the currency market, using both traditional and new sentiment indicators, including: Commitment of Traders reports; time cycles; pivot points; oscillators; and Fibonacci time and price ratios. He also explains how to interpret news coverage of the markets to get a sense of when participants have become overly bullish or bearish. Saettele points out that several famous traders such as George Soros and Robert Prechter made huge profits by identifying shifts in crowd sentiment at major market turning points. Many individual traders lose money in the currency market, Saettele asserts, because they are too short-term oriented and trade impulsively. He believes retail traders would be much more successful if they adopted a longer-term, contrarian approach, utilizing sentiment indicators to position themselves at the beginning points of major trends.

Author: Bing Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1608458849
Category : Computers
Languages : en
Pages : 185

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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: Bing Liu
Publisher: Cambridge University Press
ISBN: 1108787282
Category : Computers
Languages : en
Pages : 451

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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: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193

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Book Description
Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.

Author: Federico Alberto Pozzi
Publisher: Morgan Kaufmann
ISBN: 0128044381
Category : Computers
Languages : en
Pages : 286

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Book Description
The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then discusses the sociological and psychological processes underling social network interactions. The book explores both semantic and machine learning models and methods that address context-dependent and dynamic text in online social networks, showing how social network streams pose numerous challenges due to their large-scale, short, noisy, context- dependent and dynamic nature. Further, this volume: - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, machine learning, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network analysis - Shows how to apply sentiment analysis tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics - Takes an interdisciplinary approach from a number of computing domains, including natural language processing, big data, and statistical methodologies - Provides insights into opinion spamming, reasoning, and social network mining - Shows how to apply opinion mining tools for a particular application and domain, and how to get the best results for understanding the consequences - Serves as a one-stop reference for the state-of-the-art in social media analytics

Author: Jeffrey T. Martin
Publisher: Cornell University Press
ISBN: 1501740067
Category : Social Science
Languages : en
Pages : 186

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Book Description
What if the job of police was to cultivate the political will of a community to live with itself (rather than enforce law, keep order, or fight crime)? In Sentiment, Reason, and Law, Jeffrey T. Martin describes a world where that is the case. The Republic of China on Taiwan spent nearly four decades as a single-party state under dictatorial rule (1949–1987) before transitioning to liberal democracy. Here, Martin describes the social life of a neighborhood police station during the first rotation in executive power following the democratic transition. He shows an apparent paradox of how a strong democratic order was built on a foundation of weak police powers, and demonstrates how that was made possible by the continuity of an illiberal idea of policing. His conclusion from this paradox is that the purpose of the police was to cultivate the political will of the community rather than enforce laws and keep order. As Sentiment, Reason, and Law shows, the police force in Taiwan exists as an "anthropological fact," bringing an order of reality that is always, simultaneously and inseparably, meaningful and material. Martin unveils the power of this fact, demonstrating how the politics of sentiment that took shape under autocratic rule continued to operate in everyday policing in the early phase of the democratic transformation, even as a more democratic mode of public reason and the ultimate power of legal right were becoming more significant.