Big Data Analytics En Espanol

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Big Data Analytics en español

Author : José Luis Cubero-Somed
Publisher : Independently Published
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.5/5 (575 download)

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Book Synopsis Big Data Analytics en español by : José Luis Cubero-Somed

Download or read book Big Data Analytics en español written by José Luis Cubero-Somed and published by Independently Published. This book was released on 2020-11-07 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Guía rápida que muestra la metodología de trabajo para el desarrollo de procesos de Big Data Analytics. A lo largo de los años he tenido que gestionar proyectos, para implementar modelos de Machine Learning & tecnologías Big Data, con el objetivo dar solución a numerosas propuestas de modelización para sectores diversos, por lo que me he visto obligado a desarrollar una metodología de trabajo que me permitiese planificar, organizar, dirigir y controlar este tipo de proyectos, denominados técnicamente como procesos de Big Data Analytics. ¿Por qué este libro? He considerado adecuada la publicación de este libro, porque me ha parecido que podría ser de gran utilidad para aquellos lectores, interesados en todo lo concerniente con la Transformación Digital, que deseen conocer, desde mi experiencia, cómo se ha de planificar y organizar el proceso de Big Data Analytics que permite transformar datos, mediante la modelización, en información analítica para la Toma de Decisiones. ¿A quién le puede ser útil? De modo preferente, este libro puede ser muy útil para Data Scientists, Project Managers & Estudiantes IT que necesiten planificar, organizar, dirigir y controlar procesos que conlleven la implementación de modelos de Machine Learning & tecnologías Big Data, empezando desde cero. ¿Qué te puede aportar su lectura? Como profesional interesado en la Industria 4.0 y su Transformación Digital, la lectura de este libro te aportará una visión rápida, clara y concisa de cómo se han de planificar y gestionar los procesos de modelización en Machine Learning, basados en tecnologías Big Data, para afrontar con solvencia desarrollos de Analítica de Datos. Características del libro: Edición: tapa blanda y ebook. Formato: a color; para poder apreciar el detalle de los gráficos que dan soporte al texto. Redacción: lenguaje alejado, en la medida de lo posible, de tecnicismos, pero no por ello carente de rigor, al objeto de que el lector asimile los conceptos fundamentales y la metodología de trabajo expuesta. Notas al pie: tanto en formato papel como ebook.

Data Science and Big Data Analytics

Author : EMC Education Services
Publisher : John Wiley & Sons
ISBN 13 : 1118876059
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Science and Big Data Analytics by : EMC Education Services

Download or read book Data Science and Big Data Analytics written by EMC Education Services and published by John Wiley & Sons. This book was released on 2015-01-05 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate using open-source software. This book will help you: Become a contributor on a data science team Deploy a structured lifecycle approach to data analytics problems Apply appropriate analytic techniques and tools to analyzing big data Learn how to tell a compelling story with data to drive business action Prepare for EMC Proven Professional Data Science Certification Get started discovering, analyzing, visualizing, and presenting data in a meaningful way today!

Applications of Big Data Analytics

Author : Mohammed M. Alani
Publisher : Springer
ISBN 13 : 3319764721
Total Pages : 219 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Applications of Big Data Analytics by : Mohammed M. Alani

Download or read book Applications of Big Data Analytics written by Mohammed M. Alani and published by Springer. This book was released on 2018-07-23 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data, together with valuable insights into the challenges inherent in current approaches and systems. This is further supported by real-world examples drawn from a broad range of application areas, including healthcare, education, and disaster management. The text also covers, typically from an application-oriented perspective, advances in data science in such areas as big data collection, searching, analysis, and knowledge discovery. Topics and features: Discusses a model for data traffic aggregation in 5G cellular networks, and a novel scheme for resource allocation in 5G networks with network slicing Explores methods that use big data in the assessment of flood risks, and apply neural networks techniques to monitor the safety of nuclear power plants Describes a system which leverages big data analytics and the Internet of Things in the application of drones to aid victims in disaster scenarios Proposes a novel deep learning-based health data analytics application for sleep apnea detection, and a novel pathway for diagnostic models of headache disorders Reviews techniques for educational data mining and learning analytics, and introduces a scalable MapReduce graph partitioning approach for high degree vertices Presents a multivariate and dynamic data representation model for the visualization of healthcare data, and big data analytics methods for software reliability assessment This practically-focused volume is an invaluable resource for all researchers, academics, data scientists and business professionals involved in the planning, designing, and implementation of big data analytics projects. Dr. Mohammed M. Alani is an Associate Professor in Computer Engineering and currently is the Provost at Al Khawarizmi International College, Abu Dhabi, UAE. Dr. Hissam Tawfik is a Professor of Computer Science in the School of Computing, Creative Technologies & Engineering at Leeds Beckett University, UK. Dr. Mohammed Saeed is a Professor in Computing and currently is the Vice President for Academic Affairs and Research at the University of Modern Sciences, Dubai, UAE. Dr. Obinna Anya is a Research Staff Member at IBM Research – Almaden, San Jose, CA, USA.

Linguistic Corpora and Big Data in Spanish and Portuguese

Author : Miguel Calderón Campos, Gael Vaamonde
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110781522
Total Pages : 260 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Linguistic Corpora and Big Data in Spanish and Portuguese by : Miguel Calderón Campos, Gael Vaamonde

Download or read book Linguistic Corpora and Big Data in Spanish and Portuguese written by Miguel Calderón Campos, Gael Vaamonde and published by Walter de Gruyter GmbH & Co KG. This book was released on 2024-06-29 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Analytics y Big Data. Ciencia de los Datos aplicada al mundo de los negocios

Author : Sebastián Maldonado
Publisher : CANOPUS EDITORIAL DIGITAL SA
ISBN 13 : 8418982632
Total Pages : 406 pages
Book Rating : 4.4/5 (189 download)

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Book Synopsis Analytics y Big Data. Ciencia de los Datos aplicada al mundo de los negocios by : Sebastián Maldonado

Download or read book Analytics y Big Data. Ciencia de los Datos aplicada al mundo de los negocios written by Sebastián Maldonado and published by CANOPUS EDITORIAL DIGITAL SA. This book was released on 2022-01-01 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Este libro constituye la primera guía en español que estudia las competencias clave para crear valor en base a datos de empresas. No solo presenta una perspectiva general de las técnicas y aplicaciones asociadas a la analítica de negocios, sino que también incluye laboratorios paso a paso para la implementación de estas herramientas. Los códigos se desarrollan en Python, que es la principal plataforma gratuita para la construcción de modelos analíticos. Los autores ofrecen cobertura esencial a los principales temas actuales: • Big Data (Hadoop, Spark, MapReduce y otros) • Aprendizaje profundo • Perfilamiento de clientes y marketing basado en datos • Financial Analytics y modelación predictiva de riesgo • Analytics con datos avanzados (textos e imágenes)

e-Research y español LE/L2

Author : Mar Cruz Piñol
Publisher : Routledge
ISBN 13 : 042978225X
Total Pages : 278 pages
Book Rating : 4.4/5 (297 download)

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Book Synopsis e-Research y español LE/L2 by : Mar Cruz Piñol

Download or read book e-Research y español LE/L2 written by Mar Cruz Piñol and published by Routledge. This book was released on 2021-05-03 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: e-Research y español LE/L2: Investigar en la era digital es el primer volumen que aborda de manera conjunta las aportaciones al español LE/L2 de la lingüística de corpus, la biblioteconomía y la edición digital. Es excelente para mejorar las técnicas de investigación a la vez que se toma conciencia sobre el uso de las tecnologías en los estudios sobre el español LE/L2. Características principales: visión interdisciplinar e internacional a partir del trabajo de expertos que ejercen su actividad docente, investigadora y profesional en diferentes ámbitos y en distintos países; planteamiento teórico-práctico mediante la exposición de una reflexión teórica y la descripción de casos prácticos; sólido marco teórico que se presenta en los dos primeros capítulos; estructura homogénea dividida en útiles apartados (necesidades, cómo ayudan las tecnologías y casos concretos) para que el lector pueda localizar los contenidos con facilidad; lectura del volumen que puede ser lineal (capítulo tras capítulo) o transversal (por ejemplo, los casos prácticos que se presentan en cada capítulo); materiales complementarios en línea, como, por ejemplo, glosario hipertextual y enlaces a los corpus y programas mencionados en los capítulos. Escrito en español, de manera clara y accesible, y con abundantes ejemplos e ilustraciones, e-Research y español LE/L2: Investigar en la era digital es ideal para todas aquellas personas vinculadas con la investigación en torno al español LE/L2: estudiantes de máster y doctorado, directores de tesis (PhD o máster) y profesores. e-Research y español LE/L2: Investigar en la era digital is the first volume that jointly addresses the contributions of corpus linguistics, librarianship and digital publishing to Spanish as a second or foreign language (LE/L2). It is excellent for improving research techniques while raising awareness about the use of technologies in studies of Spanish LE/L2. Main features: interdisciplinary and international vision based on the work of experts who carry out their teaching, research and professional activities in different fields and in different countries; theoretical-practical approach through the presentation of a theoretical reflection and the description of practical cases; solid theoretical framework which is presented in the first two chapters; each chapter is divided into three useful sections (needs, how technologies help, and specific cases) so that the reader can easily locate the contents; reading can be linear (chapter by chapter) or transversal (for example, the practical cases presented in each chapter); supplementary online materials include a hypertext glossary and links to the corpus and programs mentioned in the chapters. Written in Spanish, in a clear and accessible way, and with abundant examples and illustrations, e-Research y español LE/L2: Investigar en la era digital is ideal for all those involved in research on Spanish LE/L2, master's and doctoral students, thesis supervisors and professors.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Data Science Thinking

Author : Longbing Cao
Publisher : Springer
ISBN 13 : 3319950924
Total Pages : 404 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Data Science Thinking by : Longbing Cao

Download or read book Data Science Thinking written by Longbing Cao and published by Springer. This book was released on 2018-08-17 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the data science field? What is responsible for shaping the mindset and skillset of data scientists? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as data science thinking from the scientific-thinking perspective, as a trans-disciplinary science from the disciplinary perspective, and as a new profession and economy from the business perspective.

Data Mining and Big Data

Author : Ying Tan
Publisher : Springer
ISBN 13 : 3319618458
Total Pages : 544 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Data Mining and Big Data by : Ying Tan

Download or read book Data Mining and Big Data written by Ying Tan and published by Springer. This book was released on 2017-07-18 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control.

Humanities and Big Data in Ibero-America

Author : Ana Gallego Cuiñas
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110753529
Total Pages : 240 pages
Book Rating : 4.1/5 (17 download)

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Book Synopsis Humanities and Big Data in Ibero-America by : Ana Gallego Cuiñas

Download or read book Humanities and Big Data in Ibero-America written by Ana Gallego Cuiñas and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-11-20 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: La colección presenta trabajos interdisciplinares que hacen uso de herramientas no solo humanistas sino también digitales para proponer enfoques inéditos sobre Literatura, Lingüística, Teoría Crítica y Filosofía en el espacio multicultural iberoamericano del siglo XXI. Las tres principales líneas de investigación - los corpus lingüísticos digitalizados, la lingüística experimental, y la relación entre Literatura, Crítica y Big Data - combinan el análisis de datos con un pensamiento crítico que trasciende el "dataísmo" y abre nuevas perspectivas (biopolítica, feminista y decolonial) en las Humanidades Digitales. The series presents interdisciplinary studies harnessing humanistic as well as digital tools to offer innovative approaches to literary studies, linguistics, critical theory and philosophy in the multicultural Ibero-American space of the 21st century. Its three principal lines of research - digital linguistic corpora, experimental linguistics, and the relation between literature, critique and big data - combine data analysis with critical thinking that transcends mere "dataism" and opens new (biopolitical, feminist, decolonial...) perspectives within Digital Humanities.

Data Science for Business

Author : Foster Provost
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 144937428X
Total Pages : 506 pages
Book Rating : 4.4/5 (493 download)

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Book Synopsis Data Science for Business by : Foster Provost

Download or read book Data Science for Business written by Foster Provost and published by "O'Reilly Media, Inc.". This book was released on 2013-07-27 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today. Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making. Understand how data science fits in your organization—and how you can use it for competitive advantage Treat data as a business asset that requires careful investment if you’re to gain real value Approach business problems data-analytically, using the data-mining process to gather good data in the most appropriate way Learn general concepts for actually extracting knowledge from data Apply data science principles when interviewing data science job candidates

Big Data Concepts, Theories, and Applications

Author : Shui Yu
Publisher : Springer
ISBN 13 : 3319277634
Total Pages : 440 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Big Data Concepts, Theories, and Applications by : Shui Yu

Download or read book Big Data Concepts, Theories, and Applications written by Shui Yu and published by Springer. This book was released on 2016-03-03 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

Big Data in Engineering Applications

Author : Sanjiban Sekhar Roy
Publisher : Springer
ISBN 13 : 9811084769
Total Pages : 381 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Big Data in Engineering Applications by : Sanjiban Sekhar Roy

Download or read book Big Data in Engineering Applications written by Sanjiban Sekhar Roy and published by Springer. This book was released on 2018-05-02 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in pharmaceutical and biological sciences. This book consists of contributions from various authors from all sectors of academia and industries, demonstrating the imperative application of Big Data for the decision-making process in sectors where the volume, variety, and velocity of information keep increasing. The book is a useful reference for graduate students, researchers and scientists interested in exploring the potential of Big Data in the application of engineering areas.

Using Big Data Analytics In: Passenger Travel with Mobile Trajectory , Usage of E-Wallet, Luxury Brand's Social Media Marketing

Author : David Gerald
Publisher :
ISBN 13 :
Total Pages : 94 pages
Book Rating : 4.5/5 (326 download)

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Book Synopsis Using Big Data Analytics In: Passenger Travel with Mobile Trajectory , Usage of E-Wallet, Luxury Brand's Social Media Marketing by : David Gerald

Download or read book Using Big Data Analytics In: Passenger Travel with Mobile Trajectory , Usage of E-Wallet, Luxury Brand's Social Media Marketing written by David Gerald and published by . This book was released on 2021-07-06 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contents ************************************** Discovering spatiotemporal characteristics of passenger travel with mobile trajectory big data ************************************** Examining actual consumer usage of E-wallet ************************************** Examining the impact of luxury brand's social media marketing on customer engagement ************************************** Keywords: IT investment IT risk Big data Data Privacy Data Security Event study Big data analytics Environmental air pollution BDA-EAP management system UTAUT Task-technology fit Mobile payment E-Wallet Big data analytics Promotional campaigns Ecosystem Big data Luxury brand Customer engagement Social media Twitter big data big design big data book big data dangerous big data demystified big data design big data does size matter big data driven business big data engineer big data engineering big data español big data finance big data for beginners big data for social good big data frameworks big data fundamentals big data fundamentals concepts, drivers & techniques big data genomics big data glossary big data health analytics big data in education big data in finance big data in healthcare big data in practice big data integration big data interview big data lake big data management big data manning big data marketing big data marz big data mba big data mba driving business strategies with data science big data modeling big data on campus big data para ceos y directores de marketing big data platform big data policing big data principles and best practices big data profits success analytics big data project big data project management big data python big data questions and answers big data race big data real estate big data revolution big data science big data science in finance big data security big data small wars big data spanish big data spark big data system big data technologies for business big data textbook big data uncharted big data understanding how data powers big business big data using hadoop big data using hadoop and hive big data visualization big data with java big data with spark

Big data

Author : Patricia Fernández, Eva (coord.)
Publisher : Editorial UOC
ISBN 13 : 8491164146
Total Pages : 94 pages
Book Rating : 4.4/5 (911 download)

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Book Synopsis Big data by : Patricia Fernández, Eva (coord.)

Download or read book Big data written by Patricia Fernández, Eva (coord.) and published by Editorial UOC. This book was released on 2017-02-27 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt: El big data, entendido como la gestión y el almacenamiento masivo de datos, es una tendencia por explotar a día de hoy. La industria audiovisual, consciente de ello, empieza a orientar estrategias de negocio con ideas de personalización de contenidos, segmentación de perfiles o predicción de tendencias. Comprender todas las posibilidades que nos ofrece el big data supone entender las dinámicas internas del negocio, así como las fuentes de datos de las que podemos extraer información y la interacción que podemos realizar con ellas. Y también nos permite formular mejores preguntas y tomar decisiones acertadas. Este libro ofrece un recorrido por el proceso de gestión de datos en la empresa, con introducción de explicaciones técnicas y especial atención a la toma de decisiones del business intelligence.

People Analytics in the Era of Big Data

Author : Jean Paul Isson
Publisher : John Wiley & Sons
ISBN 13 : 1119050782
Total Pages : 420 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis People Analytics in the Era of Big Data by : Jean Paul Isson

Download or read book People Analytics in the Era of Big Data written by Jean Paul Isson and published by John Wiley & Sons. This book was released on 2016-04-25 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics. Written by the Global Vice President of Business Intelligence and Predictive Analytics at Monster Worldwide, this book is packed full of actionable insights to help you source, recruit, acquire, engage, retain, promote, and manage the exceptional talent your organization needs. With a unique approach that applies analytics to every stage of the hiring process and the entire workforce planning and management cycle, this informative guide provides the key perspective that brings analytics into HR in a truly useful way. You're already inundated with disparate employee data, so why not mine that data for insights that add value to your organization and strengthen your workforce? This book presents a practical framework for real-world talent analytics, backed by groundbreaking examples of workforce analytics in action across the U.S., Canada, Europe, Asia, and Australia. Leverage predictive analytics throughout the hiring process Utilize analytics techniques for more effective workforce management Learn how people analytics benefits organizations of all sizes in various industries Integrate analytics into HR practices seamlessly and thoroughly Corporate executives need fact-based insights into what will happen with their talent. Who should you hire? Who should you promote? Who are the top or bottom performers, and why? Who is at risk to quit, and why? Analytics can provide these answers, and give you insights based on quantifiable data instead of gut feeling and subjective assessment. People Analytics in the Era of Big Data is the essential guide to optimizing your workforce with the tools already at your disposal.

Exploring Language and Society with Big Data

Author : Minna Korhonen
Publisher : John Benjamins Publishing Company
ISBN 13 : 9027249512
Total Pages : 387 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Exploring Language and Society with Big Data by : Minna Korhonen

Download or read book Exploring Language and Society with Big Data written by Minna Korhonen and published by John Benjamins Publishing Company. This book was released on 2023-11-15 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the legislative bodies of democratic nations, parliaments play a fundamental role in society. Consequently the linguistic practices observed in parliamentary discourse are of importance to everyone. This volume brings together leading researchers in areas of corpus linguistics, big data, parliamentary discourse, and historical linguistics in a truly interdisciplinary exploration at the vanguard of big data and corpus methods with the aim to investigate the intersection between linguistic and social change. Making use of both quantitative and qualitative methods, the studies included in this volume range from a focus on explicitly linguistic phenomena to topics that contribute to our understanding of language and society more generally. It breaks new ground in its critical reflection on the conceptual and methodological challenges of using large corpora of parliamentary discourse to study both the specialised language of parliamentary speech and the societies that the parliaments in question represent and govern.