Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Morgan & Claypool Publishers. This book was released on 2017-12-15 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Download or read book Artificial Intelligence Science And Technology Proceedings Of The 2016 International Conference Aist2016 written by Hui Yang and published by #N/A. This book was released on 2017-06-28 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2016 International Conference on Artificial Intelligence Science and Technology (AIST2016) was held in Shanghai, China, from 15th to 17th July, 2016.AIST2016 aims to bring together researchers, engineers, and students to the areas of Artificial Intelligence Science and Technology. AIST2016 features unique mixed topics of artificial intelligence and application, computer and software, communication and network, information and security, data mining, and optimization.This volume consists of 101 peer-reviewed articles by local and foreign eminent scholars which cover the frontiers and state-of-art development in AI Technology.

Download or read book Real Time Risk written by Irene Aldridge and published by John Wiley & Sons. This book was released on 2017-02-28 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: Risk management solutions for today's high-speed investing environment Real-Time Risk is the first book to show regular, institutional, and quantitative investors how to navigate intraday threats and stay on-course. The FinTech revolution has brought massive changes to the way investing is done. Trading happens in microsecond time frames, and while risks are emerging faster and in greater volume than ever before, traditional risk management approaches are too slow to be relevant. This book describes market microstructure and modern risks, and presents a new way of thinking about risk management in today's high-speed world. Accessible, straightforward explanations shed light on little-understood topics, and expert guidance helps investors protect themselves from new threats. The discussion dissects FinTech innovation to highlight the ongoing disruption, and to establish a toolkit of approaches for analyzing flash crashes, aggressive high frequency trading, and other specific aspects of the market. Today's investors face an environment in which computers and infrastructure merge, regulations allow dozens of exchanges to coexist, and globalized business facilitates round-the-clock deals. This book shows you how to navigate today's investing environment safely and profitably, with the latest in risk-management thinking. Discover risk management that works within micro-second trading Understand the nature and impact of real-time risk, and how to protect yourself Learn why flash crashes happen, and how to mitigate damage in advance Examine the FinTech disruption to established business models and practices When technology collided with investing, the boom created stratospheric amounts of data that allows us to plumb untapped depths and discover solutions that were unimaginable 20 years ago. Real-Time Risk describes these solutions, and provides practical guidance for today's savvy investor.

Download or read book Media Sentiment and International Asset Prices written by Samuel P. Fraiberger and published by International Monetary Fund. This book was released on 2018-12-10 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: We assess the impact of media sentiment on international equity prices using more than 4.5 million Reuters articles published across the globe between 1991 and 2015. News sentiment robustly predicts daily returns in both advanced and emerging markets, even after controlling for known determinants of stock prices. But not all news-sentiment is alike. A local (country-specific) increase in news optimism (pessimism) predicts a small and transitory increase (decrease) in local returns. By contrast, changes in global news sentiment have a larger impact on equity returns around the world, which does not reverse in the short run. We also find evidence that news sentiment affects mainly foreign – rather than local – investors: although local news optimism attracts international equity flows for a few days, global news optimism generates a permanent foreign equity inflow. Our results confirm the value of media content in capturing investor sentiment.

Download or read book Recent Advances on Soft Computing and Data Mining written by Rozaida Ghazali and published by Springer Nature. This book was released on 2024 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores methods for leveraging data to create innovative solutions that offer significant and meaningful value. It provides practical insights into the concepts and techniques essential for maximizing the outcomes of large-scale research and data mining projects. Readers are guided through analytical thinking processes, addressing challenges in deciphering complex data systems and deriving commercial value from the data. Soft computing and data mining, also known as data-driven science, encompass a diverse range of interdisciplinary scientific methods and processes. The proceedings of "Recent Advances on Soft Computing and Data Mining" provide comprehensive knowledge to address various challenges encountered in complex systems. By integrating practices and applications from both domains, it offers a robust framework for tackling these issues. To excel in data-driven ecosystems, researchers, data analysts, and practitioners must carefully select the most suitable approaches and tools. Understanding the design choices and options available is essential for appreciating the underlying concepts, tools, and techniques utilized in these endeavors.

Download or read book Natural Language Processing for Social Media Third Edition written by Anna Atefeh Farzindar and published by Springer Nature. This book was released on 2022-05-31 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms that extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. This book will discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts, and it shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, and business intelligence. The book further covers the existing evaluation metrics for NLP and social media applications and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks), the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC), or the Conference and Labs of the Evaluation Forum (CLEF). In this third edition of the book, the authors added information about recent progress in NLP for social media applications, including more about the modern techniques provided by deep neural networks (DNNs) for modeling language and analyzing social media data.

Download or read book Natural Language Processing for Social Media Second Edition written by Atefeh Farzindar and published by Springer Nature. This book was released on 2017-12-15 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Springer Nature. This book was released on 2015-08-31 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on Natural Language Processing (NLP) tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, health care, business intelligence, industry, marketing, and security and defense. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, and social networking.

Download or read book Trading on Sentiment written by Richard L. Peterson and published by John Wiley & Sons. This book was released on 2016-03-21 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Social Neuroscience of Empathy written by Jean Decety and published by MIT Press. This book was released on 2011-01-21 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-disciplinary, cutting-edge work on human empathy from the perspectives of social, cognitive, developmental and clinical psychology and cognitive/affective neuroscience. In recent decades, empathy research has blossomed into a vibrant and multidisciplinary field of study. The social neuroscience approach to the subject is premised on the idea that studying empathy at multiple levels (biological, cognitive, and social) will lead to a more comprehensive understanding of how other people's thoughts and feelings can affect our own thoughts, feelings, and behavior. In these cutting-edge contributions, leading advocates of the multilevel approach view empathy from the perspectives of social, cognitive, developmental and clinical psychology and cognitive/affective neuroscience. Chapters include a critical examination of the various definitions of the empathy construct; surveys of major research traditions based on these differing views (including empathy as emotional contagion, as the projection of one's own thoughts and feelings, and as a fundamental aspect of social development); clinical and applied perspectives, including psychotherapy and the study of empathy for other people's pain; various neuroscience perspectives; and discussions of empathy's evolutionary and neuroanatomical histories, with a special focus on neuroanatomical continuities and differences across the phylogenetic spectrum. The new discipline of social neuroscience bridges disciplines and levels of analysis. In this volume, the contributors' state-of-the-art investigations of empathy from a social neuroscience perspective vividly illustrate the potential benefits of such cross-disciplinary integration. Contributors C. Daniel Batson, James Blair, Karina Blair, Jerold D. Bozarth, Anne Buysse, Susan F. Butler, Michael Carlin, C. Sue Carter, Kenneth D. Craig, Mirella Dapretto, Jean Decety, Mathias Dekeyser, Ap Dijksterhuis, Robert Elliott, Natalie D. Eggum, Nancy Eisenberg, Norma Deitch Feshbach, Seymour Feshbach, Liesbet Goubert, Leslie S. Greenberg, Elaine Hatfield, James Harris, William Ickes, Claus Lamm, Yen-Chi Le, Mia Leijssen, Abigail Marsh, Raymond S. Nickerson, Jennifer H. Pfeifer, Stephen W. Porges, Richard L. Rapson, Simone G. Shamay-Tsoory, Rick B. van Baaren, Matthijs L. van Leeuwen, Andries van der Leij, Jeanne C. Watson

Download or read book 2019 IEEE 43rd Annual Computer Software and Applications Conference COMPSAC written by IEEE Staff and published by . This book was released on 2019-07-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: COMPSAC is the IEEE Computer Society s signature Conference on Computers, Software and Applications It is one of the major international forums for academia, industry, and government to discuss research results, advancements and future trends in computer and software technologies and applications The technical program includes keynote addresses, research papers, industrial case studies, panel discussions, fast abstracts, doctoral symposium, poster sessions, and a number of workshops on emerging important topics

Download or read book Network mining and propagation dynamics analysis written by Xuzhen Zhu and published by Frontiers Media SA. This book was released on 2023-03-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Digitalization and Management Innovation written by A.J. Tallón-Ballesteros and published by IOS Press. This book was released on 2023-02-28 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt: The digital era has brought about important changes that continue to affect all our lives. Efficient management and storage of digital information has become crucial, as has the ability to access that information quickly and efficiently, and priorities are to allow for the saving of digital data in many different ways, and to avoid the loss of information in the event of a malfunction. This book presents the 65 papers presented at DMI2022, the first in the new annual conference series Digitalization and Management Innovation (DMI), held as a hybrid event in Beijing, China, on 26 November 2022. A total of 190 submissions were received for the conference, and the papers presented here were selected after careful and conscientious review, bearing in mind the breadth and depth of the research topics falling within the scope of digital and management innovation and resulting in an acceptance rate of 34%. Topics covered include digital transformation, supply chains, business models, and block chain, enterprises, banking, and sustainability, as well as policy in artificial intelligence, the gig economy, the post-epidemic era, green supply, citizenship behavior, human resource management, human relationships, agriculture, and environmental matters. Presenting original ideas and results of general significance and supported by clear reasoning, and compelling evidence and methods, the book will be of interest to all those whose work involves the management of digital data.

Download or read book Price Based Investment Strategies written by Adam Zaremba and published by Springer. This book was released on 2018-07-25 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.

Download or read book Digital and Social Media Marketing written by Nripendra P. Rana and published by Springer Nature. This book was released on 2019-11-11 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.

Download or read book Big Crisis Data written by Carlos Castillo and published by Cambridge University Press. This book was released on 2016-07-04 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media is invaluable during crises like natural disasters, but difficult to analyze. This book shows how computer science can help.

Download or read book The Psychological Construction of Emotion written by Lisa Feldman Barrett and published by Guilford Publications. This book was released on 2014-10-29 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents cutting-edge theory and research on emotions as constructed events rather than fixed, essential entities. It provides a thorough introduction to the assumptions, hypotheses, and scientific methods that embody psychological constructionist approaches. Leading scholars examine the neurobiological, cognitive/perceptual, and social processes that give rise to the experiences Western cultures call sadness, anger, fear, and so on. The book explores such compelling questions as how the brain creates emotional experiences, whether the "ingredients" of emotions also give rise to other mental states, and how to define what is or is not an emotion. Introductory and concluding chapters by the editors identify key themes and controversies and compare psychological construction to other theories of emotion.