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1
Jo, Taeho. Text Mining: Concepts, Implementation, and Big Data Challenge (Studies in Big Data). Springer, 2018.
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Jo, Taeho. Text Mining: Concepts, Implementation, and Big Data Challenge. Springer, 2019.
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Struhl, Steven. Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence. Kogan Page, 2016.
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Practical Text Analytics: Interpreting Text and Unstructured Data for Business Intelligence. Kogan Page, 2015.
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Zaydman, Mikhail. Tweeting About Mental Health: Big Data Text Analysis of Twitter for Public Policy. RAND Corporation, 2017. http://dx.doi.org/10.7249/rgsd391.
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Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Bigger Text to Big Data. Information Today Inc, 2016.
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Brayne, Sarah. Predict and Surveil. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190684099.001.0001.
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The scope of criminal justice surveillance, from policing to incarceration, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement’s use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences. This book offers an inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law enforcement agencies in the world—the Los Angeles Police Department. Drawing on original interviews and ethnographic observations from over two years of fieldwork with the LAPD, the text examines the causes and consequences of big data and algorithmic control. It reveals how the police use predictive analytics and new surveillance technologies to deploy resources, identify criminal suspects, and conduct investigations; how the adoption of big data analytics transforms police organizational practices; and how the police themselves respond to these new data-driven practices. While big data analytics has the potential to reduce bias, increase efficiency, and improve prediction accuracy, the book argues that it also reproduces and deepens existing patterns of inequality, threatens privacy, and challenges civil liberties.
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Jockers, Matthew L. Theme. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0008.
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This chapter demonstrates how big data and computation can be used to identify and track recurrent themes as the products of external influence. It first considers the limitations of the Google Ngram Viewer as a tool for tracing thematic trends over time before turning to Douglas Biber's Corpus Linguistics: Investigating Language Structure and Use, a primer on various factors complicating word-focused text analysis and the subsequent conclusions one might draw regarding word meanings. It then discusses the results of the author's application of latent Dirichlet allocation (LDA) to a corpus of 3,346 nineteenth-century novels using the open-source MALLET (MAchine Learning for LanguagE Toolkit), a software package for topic modeling. It also explains the different types of analyses performed by the author, including text segmentation, word chunking, and author nationality, gender and time-themes relationship analyses. The thematic data from the LDA model reveal the degree to which author nationality, author gender, and date of publication could be predicted by the thematic signals expressed in the nineteenth-century novels corpus.
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Morin, Jean-Frédéric, Christian Olsson y Ece Özlem Atikcan, eds. Research Methods in the Social Sciences: An A-Z of key concepts. Oxford University Press, 2021. http://dx.doi.org/10.1093/hepl/9780198850298.001.0001.
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Research Methods in the Social Sciences features chapters that cover a wide range of concepts, methods, and theories. Each chapter begins with an introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice on when and how to apply the method in research. The text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods.
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Jockers, Matthew L. Revolution. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252037528.003.0001.
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This chapter discusses the enormous promise of computational approaches to the study of literature, with particular emphasis on digital humanities as an emerging field. By 2008 computers, with their capacity for number crunching and processing large-scale data sets, had revolutionized the way that scientific research is carried out. Now, the same elements that have had such an impact on the sciences are slowly and surely revolutionizing the way that research in the humanities gets done. This chapter considers the history of digital humanities, also known as humanities computing, community of practice, or field of study/theory/methodology, and how revolution in this emerging field is being catalyzed by big data. It also emphasizes the potential of literary computing and cites the existence of digital libraries and large electronic text collections as factors that are sparking the digital humanities revolution.
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Brantingham, Patricia L., Paul J. Brantingham, Justin Song y Valerie Spicer. Advances in Visualization for Theory Testing in Environmental Criminology. Editado por Gerben J. N. Bruinsma y Shane D. Johnson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190279707.013.37.
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This chapter discusses advances in visualization for environmental criminology. The environment within which people move has many dimensions that influence or constrain decisions and actions by individuals and by groups. This complexity creates a challenge for theoreticians and researchers in presenting their research results in a way that conveys the dynamic spatiotemporal aspects of crime and actions by offenders in a clearly understandable way. There is an increasing need in environmental criminology to use scientific visualization to convey research results. A visual image can describe underlying patterns in a way that is intuitively more understandable than text and numeric tables. The advent of modern information systems generating large and deep data sets (Big Data) provides researchers unparalleled possibilities for asking and answering questions about crime and the environment. This will require new techniques and methods for presenting findings and visualization will be key.
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Bisseling, Rob H. Parallel Scientific Computation. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198788348.001.0001.
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This book explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data. Furthermore, it presents a hybrid BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. The book provides a full treatment of core problems in scientific computing and big data, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in the communication library BSPlib. Numerical experiments are presented for parallel programs on modern parallel computers ranging from desktop computers to massively parallel supercomputers. The introductory chapter of the book gives a complete overview of BSPlib, so that the reader already at an early stage is able to write his/her own parallel programs. Furthermore, it treats BSP benchmarking and parallel sorting by regular sampling. The next three chapters treat basic numerical linear algebra problems such as linear system solving by LU decomposition, sparse matrix-vector multiplication (SpMV), and the fast Fourier transform (FFT). The final chapter explores parallel algorithms for big data problems such as graph matching. The book is accompanied by a software package BSPedupack, freely available online from the author’s homepage, which contains all programs of the book and a set of test programs.
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Liebl, Johannes. Experten-Forum Powertrain : Simulation und Test 2019: Vom Prüfstand bis Big Data - ganzheitliche Validierung-in-the-Loop. Springer Vieweg, 2020.
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D, Faiman, ed. Data reliability at the Ben Gurion Solar Electricity Technologies Test Site: Final report. [Jerusalem]: State of Israel, Ministry of Energy and Infrastructure, Research and Development Division, 1989.
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Lee, Maurice S. Overwhelmed. Princeton University Press, 2019. http://dx.doi.org/10.23943/princeton/9780691192925.001.0001.
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What happens to literature during an information revolution? How do readers and writers adapt to proliferating data and texts? These questions appear uniquely urgent today in a world of information overload, big data, and the digital humanities. But as this book shows, these concerns are not new—they also mattered in the nineteenth century, as the rapid expansion of print created new relationships between literature and information. Exploring four key areas—reading, searching, counting, and testing—in which nineteenth-century British and American literary practices engaged developing information technologies, the book delves into a diverse range of writings, from canonical works by Samuel Taylor Coleridge, Ralph Waldo Emerson, Charlotte Brontë, Nathaniel Hawthorne, and Charles Dickens to lesser-known texts such as popular adventure novels, standardized literature tests, antiquarian journals, and early statistical literary criticism. In doing so, it presents a new argument: rather than being at odds, as generations of critics have viewed them, literature and information in the nineteenth century were entangled in surprisingly collaborative ways. The book illuminates today's debates about the digital humanities, the crisis in the humanities, and the future of literature.
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Bruce, Steve. Researching Religion. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198786580.001.0001.
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Basic questions about religion in the modern world (such as whether it is becoming more or less popular and who believes what) can be answered only with the perspectives and methods of social science. While the arts and humanities can help us understand religious beliefs and behaviour, only social science can provide us with the evidence that will allow us to discern and explain the social patterns, causes, and consequences of religious belief. Only through the statistical examination of big data can we be confident of what any case study represents. In a text described by one reviewer as ‘brilliantly accessible’, an internationally renowned sociologist addresses the major problems of theory and methods in the study of religion. Important topics in religious studies such as conversion, the relative durability of different types of religion and spirituality, and the social circumstances that strengthen or undermine shared beliefs are used to demonstrate the importance of social science and to address methodological issues such as bias, partisanship, and research ethics. Bruce presents a robust defence of a conventionally scientific view of value-neutral social science against its partisan and postmodern critics.
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Selvin, Steve. The Joy of Statistics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198833444.001.0001.
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The Joy of Statistics consists of a series of 42 “short stories,” each illustrating how elementary statistical methods are applied to data to produce insight and solutions to the questions data are collected to answer. The text contains brief histories of the evolution of statistical methods and a number of brief biographies of the most famous statisticians of the 20th century. Also throughout are a few statistical jokes, puzzles, and traditional stories. The level of the Joy of Statistics is elementary and explores a variety of statistical applications using graphs and plots, along with detailed and intuitive descriptions and occasionally using a bit of 10th grade mathematics. Examples of a few of the topics are gambling games such as roulette, blackjack, and lotteries as well as more serious subjects such as comparison of black/white infant mortality rates, coronary heart disease risk, and ethnic differences in Hodgkin’s disease. The statistical description of these methods and topics are accompanied by easy to understand explanations labeled “how it works.”
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Liebling, Alison, Shadd Maruna y Lesley McAra, eds. The Oxford Handbook of Criminology. Oxford University Press, 2017. http://dx.doi.org/10.1093/he/9780198719441.001.0001.
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As the most comprehensive and authoritative single volume on the subject, the sixth edition of the acclaimed Oxford Handbook of Criminology is a completely revised collection of 44 essays by leading authors in the field. It is organized into four sections: Constructions of crime and justice; Borders, boundaries, and beliefs; Dynamics of crime and violence; and Responses to crime. Criminology is expanding its borders, and seeking new answers to questions of crime and punishment, citizenship, and democratic living, including issues of state crime and globalisation. Some of the newest areas of study in criminology include migration, asylum, and the integration of global populations following war or famine; privacy and the governance of ‘big data;’ and the privatisation of justice and security. All of these topics, as well as classic questions of the causes and consequences of crime, receive attention here. The new editors have also made room for greater inclusiveness and diversity, with a wider range of newer scholars taking account of new developments in the field such as zemiology and green criminology, as well as previously neglected themes such as domestic violence and sex work. The chapters contain extensive references to aid further research, and the book is accompanied by an online resource centre featuring: selected chapters from previous editions; guidance on answering essay questions; practice essay questions; web links; and figures and tables from the text.
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Fleury, James, Bryan Hikari Hartzheim y Stephen Mamber, eds. The Franchise Era. Edinburgh University Press, 2019. http://dx.doi.org/10.3366/edinburgh/9781474419222.001.0001.
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As Hollywood shifts towards the digital era, the role of the media franchise has become more prominent. Over a series of essays by a range of international scholars, this edited collection argues that the franchise is now an integral element of American media culture. As such, the collection explores the production, distribution, and marketing of franchises as a historical form of media-making. In particular, the essays analyze the complex industrial practice of managing franchises across interconnected online platforms with a global scope, presenting a network of scholarly texts that critically look at the collision of new and old industrial logics against an ever more fragmented and consolidated mediascape. The authors address how traditional incumbents like film studios and television networks have responded to the rise of big data, Silicon Valley companies like Facebook, Apple, Amazon, Netflix, and Google; the ways in which legacy franchises are adapting to new media platforms and technologies; the significant historical continuities and deviations in franchise-making and how they shape the representation of on-screen texts across digital displays; and, finally, how emerging media formats are expanding the possibility for transmedia experiences. In this regard, The Franchise Era: Managing Media in the Digital Economy offers an in-depth analysis of the tectonic shifts that have disrupted entertainment companies in the twenty-first century, demonstrating that the media franchise stands front and center in this high-stakes environment.
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Katia, Yannaca-Small, ed. Arbitration Under International Investment Agreements. Oxford University Press, 2018. http://dx.doi.org/10.1093/law/9780198758082.001.0001.
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Investor-state arbitration is a form of dispute settlement that allows foreign investors the opportunity to seek compensation for damages or discriminatory practices, most of which arise out of breaches of treaty obligations by the governments of host countries. With a high level of public interest involved in these cases, the awards of these tribunals are subject to much scrutiny and debate. As a result, up-to-date knowledge of the key topics of investment arbitration is integral for those practicing in the field, especially given the rapid development of international investment law. This book describes the most important procedural and substantive aspects of investment arbitration in a practical and accessible manner. Covering all procedural stages of investor-state arbitration, the text provides a broad overview of the key topics including the role of precedent, counterclaims, third party funding, bi-trifurcation, burden of proof regarding jurisdiction, attribution, breach of treaty and contract claims, fair and equitable treatment, indirect expropriation, and culminates in the enforcement of investment awards. The text also describes the conflicts and challenges facing arbitrators from a practical perspective, providing a comprehensive insight into investor-state arbitration.
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Robert, Pascal, ed. L'impensé numérique - Tome 2 - Interprétations critiques et logiques pragmatiques de l’impensé. Editions des archives contemporaines, 2020. http://dx.doi.org/10.17184/eac.9782813003577.
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Ce deuxième tome de l’impensé numérique, qui vient compléter le premier tome paru en 2016, participe au développement d’une pensée critique du numérique que le directeur de cet ouvrage collectif a engagée voilà 25 ans maintenant. Il marque en quelque sorte un anniversaire, celui d’une réflexion au long cours sur l‘informatisation de la société. Ce temps long de la recherche se révèle, notamment, dans la première partie qui vise à élaborer, reprendre et affiner le cadre conceptuel de ce travail. On y revient, à nouveaux frais, sur les notions d’impensé informatique et numérique, on y présente les notions de « glissement de la prérogative politique » (GPP), qui souligne la prise en main par des acteurs privés de prérogatives jusque là dévolues au politique et de « gestionnarisation », qui désigne le processus qui met en avant la technique (gestion et numérique) et ses catégories au détriment des activités qui doivent s’y adapter. Ce travail de construction théorique, qui mobilise aussi les notions de confiance, d’usage, d’imaginaire et de reconnaissance, s’est déployé sur une bonne quinzaine d’année. Nous n’avons pas voulu supprimer cette épaisseur temporelle, qui fait pleinement partie du travail de recherche lui-même. Les deuxième et troisième parties font le point sur ce que l’on peut appeler une pragmatique de l’impensé : à savoir, comment il s’installe très concrètement aussi bien dans le mode de fonctionnement et d’architecturation d’internet, que dans nos plateformes et dans la manière dont elles transforment le jeu médiatique, à travers, également, l’instauration d’une nouvelle monnaie (le Bitcoin) et de son support technique (la blockchain) ou, enfin, par le biais du big data. L’impensé, en ce sens, n’est pas seulement un effet de discours, il est aussi un effet, pratique, de structuration du réel qui a pour conséquence de fermer des espaces de discutabilité. Ce qui est vrai à l’échelle stratégique de la deuxième partie l’est tout autant à l’échelle tactique, plus locale, qu’adopte la troisième partie : car l’impensé est tout autant au travail dans les discours performatifs de l’éducation, dans celui de la vulgarisation technique de l‘informatique que dans ceux qui structurent les espaces numériques de la culture. Un dernier texte ouvre sur une proposition technique qui s’appuie sur une réflexion critique, afin de montrer que celle-ci n’est pas seulement négative ou supposément technophobe, mais qu’elle peut également nourrir un dispositif technique innovant. La conclusion s’interroge sur la persistance des conditions de possibilité du développement d’une véritable posture critique face à ceux que l’on peut appeler les impenseurs. Elle offre également un petit kit pédagogique de présentation de l‘impensé, du GPP et de la gestionnarisation pour que la critique argumentée puisse, peut être, être mieux entendue. Avec les contributions de : Eric Arrivé, Julien Falgas, Chloé Girard, Isabelle Hare, Aude Inaudi, Marc Jahjah et Adrian Staii.