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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.
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.
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.
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
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.
The Rule of Sympathy is a social and historical critique of sympathy in British discourse in the late eighteenth and early nineteenth century. Although initially associated with feminized or effeminate forms of sentimental discourse (the romance, the novel, the gothic), sympathy came to function as a key technology of gender and race in new evangelical social movements, such as abolitionism and missionizing. Amit Rai argues that sympathy was a paradoxical mode of power. The differences of racial, gender and class inequalities that increasingly divided the object and agent of sympathy were precisely what must be bridged through identification. Yet without such differences, which were differences of power, sympathy itself would be impossible. This paradoxical mode of power transformed the ways in which people came to think of how best to manage, order, and govern individuals and populations in the late eighteenth century.
Mastering Emotions examines the interactions between slaveholders and enslaved people, and between White people and free Black people, to expose how emotions such as love, terror, happiness, and trust functioned as social and economic capital for slaveholders and enslaved people alike.
An innovative study proposing a new history of the British Empire in Africa by exploring the emotion culture of imperialism.
How can we account for the persistent appeal of glossy commercial pop music? Why do certain performers have such emotional power, even though their music is considered vulgar or second rate? In The Persistence of Sentiment, Mitchell Morris gives a critical account of a group of American popular music performers who have dedicated fan bases and considerable commercial success despite the critical disdain they have endured. Morris examines the specific musical features of some exemplary pop songs and draws attention to the social contexts that contributed to their popularity as well as their dismissal. These artists were all members of more or less disadvantaged social categories: members of racial or sexual minorities, victims of class and gender prejudices, advocates of populations excluded from the mainstream. The complicated commercial world of pop music in the 1970s allowed the greater promulgation of musical styles and idioms that spoke to and for exactly those stigmatized audiences. In more recent years, beginning with the “Seventies Revival” of the early 1990s, additional perspectives and layers of interpretation have allowed not only a deeper understanding of these songs' function than when they were first popular, but also an appreciation of how their significance has shifted for American listeners in the succeeding three decades.