This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas. In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures. This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.
This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: • Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference • Sentic Computing’s shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text • Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems.
This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.
The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining
In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.
This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.
This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.
This book presents a systematic application of recent advances in artificial intelligence (AI) to the problem of asset management. While natural language processing and text mining techniques, such as semantic representation, sentiment analysis, entity extraction, commonsense reasoning, and fact checking have been evolving for decades, finance theories have not yet fully considered and adapted to these ideas. In this unique, readable volume, the authors discuss integrating textual knowledge and market sentiment step-by-step, offering readers new insights into the most popular portfolio optimization theories: the Markowitz model and the Black-Litterman model. The authors also provide valuable visions of how AI technology-based infrastructures could cut the cost of and automate wealth management procedures. This inspiring book is a must-read for researchers and bankers interested in cutting-edge AI applications in finance.
This book presents a synthetic analysis about the characteristics of time expressions and named entities, and some proposed methods for leveraging these characteristics to recognize time expressions and named entities from unstructured text. For modeling these two kinds of entities, the authors propose a rule-based method that introduces an abstracted layer between the specific words and the rules, and two learning-based methods that define a new type of tagging scheme based on the constituents of the entities, different from conventional position-based tagging schemes that cause the problem of inconsistent tag assignment. The authors also find that the length-frequency of entities follows a family of power-law distributions. This finding opens a door, complementary to the rank-frequency of words, to understand our communicative system in terms of language use.
The abundance of text available in social media and health-related forums and blogs have recently attracted the interest of the public health community to use these sources for opinion mining. This book presents a lexicon-based approach to sentiment analysis in the bio-medical domain, i.e., WordNet for Medical Events (WME). This book gives an insight in handling unstructured textual data and converting it to structured machine-processable data in the bio-medical domain. The readers will discover the following key novelties: 1) development of a bio-medical lexicon: WME expansion and WME enrichment with additional features.; 2) ensemble of machine learning and computational creativity; 3) development of microtext analysis techniques to overcome the inconsistency in social communication. It will be of interest to researchers in the fields of socially-intelligent human-machine interaction and biomedical text mining
One of the things I love most about our 'True Stories' section (and by extension, this book) is that readers are so willing to laugh at themselves-they send in what are sometimes very embarrassing stories, because we all know that that's life, especially when you travel." --Erik Torkells, editor, Budget Travel From the French-kissing giraffe to the Coke-drinking camel, Budget Travel's "True Stories" feature proves that life when traveling is indeed stranger and funnier than fiction. Collected by Erik Torkells, editor of Budget Travel magazine, these tales of adventuresome calamity and hilarity are an irresistible read. Over 200 true stories are included. Stories have been submitted by Budget Travel readers and many feature real and hilarious vacation photographs from their travels. From the couple in Belize who had a chicken lay an egg in their bed while at an eco resort, to the traveler who accidentally set her hair on fire while lighting a prayer candle, this book proves that the best memories come from moments when your trip is less than postcard-perfect.
At the dawn of the twentieth century, a great confidence suffused America. Isaac Cline was one of the era's new men, a scientist who believed he knew all there was to know about the motion of clouds and the behavior of storms. The idea that a hurricane could damage the city of Galveston, Texas, where he was based, was to him preposterous, "an absurd delusion." It was 1900, a year when America felt bigger and stronger than ever before. Nothing in nature could hobble the gleaming city of Galveston, then a magical place that seemed destined to become the New York of the Gulf. That August, a strange, prolonged heat wave gripped the nation and killed scores of people in New York and Chicago. Odd things seemed to happen everywhere: A plague of crickets engulfed Waco. The Bering Glacier began to shrink. Rain fell on Galveston with greater intensity than anyone could remember. Far away, in Africa, immense thunderstorms blossomed over the city of Dakar, and great currents of wind converged. A wave of atmospheric turbulence slipped from the coast of western Africa. Most such waves faded quickly. This one did not. In Cuba, America's overconfidence was made all too obvious by the Weather Bureau's obsession with controlling hurricane forecasts, even though Cuba's indigenous weathermen had pioneered hurricane science. As the bureau's forecasters assured the nation that all was calm in the Caribbean, Cuba's own weathermen fretted about ominous signs in the sky. A curious stillness gripped Antigua. Only a few unlucky sea captains discovered that the storm had achieved an intensity no man alive had ever experienced. In Galveston, reassured by Cline's belief that no hurricane could seriously damage the city, there was celebration. Children played in the rising water. Hundreds of people gathered at the beach to marvel at the fantastically tall waves and gorgeous pink sky, until the surf began ripping the city's beloved beachfront apart. Within the next few hours Galveston would endure a hurricane that to this day remains the nation's deadliest natural disaster. In Galveston alone at least 6,000 people, possibly as many as 10,000, would lose their lives, a number far greater than the combined death toll of the Johnstown Flood and 1906 San Francisco Earthquake. And Isaac Cline would experience his own unbearable loss. Meticulously researched and vividly written, Isaac's Storm is based on Cline's own letters, telegrams, and reports, the testimony of scores of survivors, and our latest understanding of the hows and whys of great storms. Ultimately, however, it is the story of what can happen when human arrogance meets nature's last great uncontrollable force. As such, Isaac's Storm carries a warning for our time.
The importance of supply chain management has increased over the last few decades. Today, entire supply chains are competing with each other instead of individual companies. As such, supply chain management has become a way for companies to set themselves apart from competing companies and their supply chains. Interestingly, supply chain management mainly focuses on efficiency-oriented topics rather than effectiveness-driven issues, in particular the design of supply chains from manufacturing sites downstream, instead of upstream from the customer. The Supply Chain Differentiation Guide offers a modern approach to supply chain management. While for many years “one-size-fits-all” approaches to supply chain management were very common, the current efforts of managers and academics alike focus on the simultaneous management of multiple supply chains. Despite the interest of the business sector in the management of multiple supply chains, academia has largely neglected this topic to date. The Supply Chain Differentiation Guide addresses this shortcoming, introducing both established and cutting-edge management methods to the context of supply chain differentiation and providing inspirations for how to improve corporate operations.
“A great and insightful” (Keith Hernandez, New York Mets legend and broadcaster) New York Times bestselling account of an iconic team in baseball history: the 1969 New York Mets—a last-place team that turned it all around in just one season—told by ’69 Mets outfielder Art Shamsky, Hall of Fame pitcher Tom Seaver, and other teammates who reminisce about that legendary season and their enduring bonds decades later. The New York Mets franchise began in 1962 and the team finished in last place nearly every year. When the 1969 season began, fans weren’t expecting much from “the Lovable Losers.” But as the season progressed, the Mets inched closer to first place and then eventually clinched the National League pennant. They were underdogs against the formidable Baltimore Orioles, but beat them in five games to become world champions. No one had predicted it. In fact, fans could hardly believe it happened. Suddenly they were “the Miracle Mets.” Playing right field for the ’69 Mets was Art Shamsky, who had stayed in touch with his former teammates over the years. He hoped to get together with star pitcher Tom Seaver (who would win the Cy Young award as the best pitcher in the league in 1969 and go on to become the first Met elected to the Hall of Fame), but Seaver was ailing and could not travel. So, Shamsky organized a visit to “Tom Terrific” in California, accompanied by the #2 pitcher, Jerry Koosman, outfielder Ron Swoboda, and shortstop Bud Harrelson. Together they recalled the highlights of that amazing season as they reminisced about what changed the Mets’ fortunes in 1969. In this “enjoyable tale of a storybook season” (Kirkus Reviews), and with the help of sportswriter Erik Sherman, Shamsky has written the “revealing” (New York Newsday) After the Miracle for the 1969 Mets. “This heartfelt, nostalgic memoir will delight baseball fans of all ages and allegiances” (Publishers Weekly). It’s a book that every Mets fan must own.
This small but information-packed book is the first to focus exclusively on iatrogenic vascular injuries. It is a timely first, for the scope and magnitude of this subject have reached almost epidemic proportions recently, as a result of exponential increases in the use of invasive diagnostic and therapeutic procedures by almost every medical and surgical speciality. The data on vascular trauma from "civilian" experiences are becoming dominated by injuries of iatrogenic cause. Even were it not for medical-legal liability, the importance of prompt recognition and correct treatment of injuries that we ourselves cause is obvious, as is the need for preventive measures to be clearly identified and adopted. This book serves these needs well through a nicely balanced focus on prevention, on the one hand, with its comprehensive review of epidemiology and etiology, and on management, on the other, with its practical comments on diagnosis, treatment and outcome. The organization of this book makes it very usable. After chapters on both arterial and venous catheterization injuries, there follows a thorough analysis of injuries associated with percutaneous transluminal angioplasty and other endovascular procedures. Then, after a chapter on noninvasive vascular injuries, there follows a series of chapters dealing with vascular injuries associated with the practice of specific specialties: radiation therapy, orthopedics, neurosurgery (especially lumbar disc surgery), gynecology, head and neck surgery, urology, adult general surgery, and pediatric surgery.
An examination of the central role of water politics and engineering in Spain's modernization, illustrating water's part in forging, maintaining, and transforming social power. In this book, Erik Swyngedouw explores how water becomes part of the tumultuous processes of modernization and development. Using the experience of Spain as a lens to view the interplay of modernity and environmental transformation, Swyngedouw shows that every political project is also an environmental project. In 1898, Spain lost its last overseas colony, triggering a period of post-imperialist turmoil still referred to as El Disastre. Turning inward, the nation embarked on “regeneration” and modernization. Water played a central role in this; during a turbulent period from the twentieth century into the twenty-first—through the Franco years and into the new era of liberal democracy—Spain's waterscapes were completely transformed, with large-scale projects that ranged from dam construction to irrigation to desalinization. Swyngedouw describes the contested political-ecological process that marked this transformation, showing that the Spain's diverse and contested paths to modernization were predicated on particular trajectories of environmental transformation. After laying out his theoretical perspectives, Swyngedouw analyzes three periods of Spain's political-ecological modernization: the aspirations and stalled modernization of the early twentieth century; the accelerated efforts under the authoritarian Franco regime—which included six hundred dams, expanded hydroelectricity, and massive irrigation; and the changing hydro-social landscape under social democracy. Offering an innovative perspective on the relationship of nature and society, Liquid Power illuminates the political nature of nature.
People organising to protect their environment is not a new phenomenon, but the groups that have been pushing for environmental change since the 1970s have not convinced sufficient numbers make sustainable decisions or to lead sustainable lives. Governments have serially failed to do the job at the international level. Now, climate change, resource depletion and widening social aspirations threaten to destabilise human society unless sustainable change can be influenced from another direction. The Coming of Age of the Green Community explores the activities of a new generation of community-led initiatives that may herald the beginnings of the next wave of activism. Erik Bichard combines the testimonies of dozens of group activists with historic evidence and the views of a range of commentators from a variety of disciplines to put forward reasons why some green community groups succeed while others fail. He concludes with a valuable prescription for both existing and emerging groups on how to be sustainable, both over time and in their actions. This book address one of the key questions of the twenty-first century: has the local perspective on this universal concern finally come of age?
The year is 2393, and the world is almost unrecognizable. Clear warnings of climate catastrophe went ignored for decades, leading to soaring temperatures, rising sea levels, widespread drought and—finally—the disaster now known as the Great Collapse of 2093, when the disintegration of the West Antarctica Ice Sheet led to mass migration and a complete reshuffling of the global order. Writing from the Second People's Republic of China on the 300th anniversary of the Great Collapse, a senior scholar presents a gripping and deeply disturbing account of how the children of the Enlightenment—the political and economic elites of the so-called advanced industrial societies—failed to act, and so brought about the collapse of Western civilization. In this haunting, provocative work of science-based fiction, Naomi Oreskes and Eric M. Conway imagine a world devastated by climate change. Dramatizing the science in ways traditional nonfiction cannot, the book reasserts the importance of scientists and the work they do and reveals the self-serving interests of the so called "carbon combustion complex" that have turned the practice of science into political fodder. Based on sound scholarship and yet unafraid to speak boldly, this book provides a welcome moment of clarity amid the cacophony of climate change literature.
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