Computational Frameworks For Political And Social Research With Python

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Computational Frameworks for Political and Social Research with Python

Author : Josh Cutler
Publisher : Springer Nature
ISBN 13 : 3030368262
Total Pages : 213 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Frameworks for Political and Social Research with Python by : Josh Cutler

Download or read book Computational Frameworks for Political and Social Research with Python written by Josh Cutler and published by Springer Nature. This book was released on 2020-04-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs). Students will learn how to collect, manipulate, and exploit large volumes of available data and apply them to political and social research questions. They will also learn best practices from the field of software development such as version control and object-oriented programming. Instructors will be supplied with in-class example code, suggested homework assignments (with solutions), and material for practical lab sessions.

Advanced Applications of Python Data Structures and Algorithms

Author : Galety, Mohammad Gouse
Publisher : IGI Global
ISBN 13 : 1668471027
Total Pages : 318 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Advanced Applications of Python Data Structures and Algorithms by : Galety, Mohammad Gouse

Download or read book Advanced Applications of Python Data Structures and Algorithms written by Galety, Mohammad Gouse and published by IGI Global. This book was released on 2023-07-05 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily with Python than with any other programming language because of their interpretability, interactivity, and object-oriented nature. Computers may store and process data at an extraordinary rate and with outstanding accuracy. Therefore, it is of the utmost importance that the data is efficiently stored and is able to be accessed promptly. In addition, data processing should take as little time as feasible while maintaining the highest possible level of precision. Advanced Applications of Python Data Structures and Algorithms assists in understanding and applying the fundamentals of data structures and their many implementations and discusses the advantages and disadvantages of various data structures. Covering key topics such as Python, linked lists, datatypes, and operators, this reference work is ideal for industry professionals, computer scientists, researchers, academicians, scholars, practitioners, instructors, and students.

Hands-on TinyML

Author : Rohan Banerjee
Publisher : BPB Publications
ISBN 13 : 9355518447
Total Pages : 309 pages
Book Rating : 4.3/5 (555 download)

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Book Synopsis Hands-on TinyML by : Rohan Banerjee

Download or read book Hands-on TinyML written by Rohan Banerjee and published by BPB Publications. This book was released on 2023-06-09 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to deploy complex machine learning models on single board computers, mobile phones, and microcontrollers KEY FEATURES ● Gain a comprehensive understanding of TinyML's core concepts. ● Learn how to design your own TinyML applications from the ground up. ● Explore cutting-edge models, hardware, and software platforms for developing TinyML. DESCRIPTION TinyML is an innovative technology that empowers small and resource-constrained edge devices with the capabilities of machine learning. If you're interested in deploying machine learning models directly on microcontrollers, single board computers, or mobile phones without relying on continuous cloud connectivity, this book is an ideal resource for you. The book begins with a refresher on Python, covering essential concepts and popular libraries like NumPy and Pandas. It then delves into the fundamentals of neural networks and explores the practical implementation of deep learning using TensorFlow and Keras. Furthermore, the book provides an in-depth overview of TensorFlow Lite, a specialized framework for optimizing and deploying models on edge devices. It also discusses various model optimization techniques that reduce the model size without compromising performance. As the book progresses, it offers a step-by-step guidance on creating deep learning models for object detection and face recognition specifically tailored for the Raspberry Pi. You will also be introduced to the intricacies of deploying TensorFlow Lite applications on real-world edge devices. Lastly, the book explores the exciting possibilities of using TensorFlow Lite on microcontroller units (MCUs), opening up new opportunities for deploying machine learning models on resource-constrained devices. Overall, this book serves as a valuable resource for anyone interested in harnessing the power of machine learning on edge devices. WHAT YOU WILL LEARN ● Explore different hardware and software platforms for designing TinyML. ● Create a deep learning model for object detection using the MobileNet architecture. ● Optimize large neural network models with the TensorFlow Model Optimization Toolkit. ● Explore the capabilities of TensorFlow Lite on microcontrollers. ● Build a face recognition system on a Raspberry Pi. ● Build a keyword detection system on an Arduino Nano. WHO THIS BOOK IS FOR This book is designed for undergraduate and postgraduate students in the fields of Computer Science, Artificial Intelligence, Electronics, and Electrical Engineering, including MSc and MCA programs. It is also a valuable reference for young professionals who have recently entered the industry and wish to enhance their skills. TABLE OF CONTENTS 1. Introduction to TinyML and its Applications 2. Crash Course on Python and TensorFlow Basics 3. Gearing with Deep Learning 4. Experiencing TensorFlow 5. Model Optimization Using TensorFlow 6. Deploying My First TinyML Application 7. Deep Dive into Application Deployment 8. TensorFlow Lite for Microcontrollers 9. Keyword Spotting on Microcontrollers 10. Conclusion and Further Reading Appendix

Elgar Encyclopedia of Law and Data Science

Author : Comandé, Giovanni
Publisher : Edward Elgar Publishing
ISBN 13 : 1839104597
Total Pages : 400 pages
Book Rating : 4.8/5 (391 download)

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Book Synopsis Elgar Encyclopedia of Law and Data Science by : Comandé, Giovanni

Download or read book Elgar Encyclopedia of Law and Data Science written by Comandé, Giovanni and published by Edward Elgar Publishing. This book was released on 2022-02-18 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Encyclopedia brings together jurists, computer scientists, and data analysts to map the emerging field of data science and law for the first time, uncovering the challenges, opportunities, and fault lines that arise as these groups are increasingly thrown together by expanding attempts to regulate and adapt to a data-driven world. It explains the concepts and tools at the crossroads of the many disciplines involved in data science and law, bridging scientific and applied domains. Entries span algorithmic fairness, consent, data protection, ethics, healthcare, machine learning, patents, surveillance, transparency and vulnerability.

Text Analysis in Python for Social Scientists

Author : Dirk Hovy
Publisher : Cambridge University Press
ISBN 13 : 1108963099
Total Pages : 102 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Text Analysis in Python for Social Scientists by : Dirk Hovy

Download or read book Text Analysis in Python for Social Scientists written by Dirk Hovy and published by Cambridge University Press. This book was released on 2022-03-17 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text contains a wealth of information about about a wide variety of sociocultural constructs. Automated prediction methods can infer these quantities (sentiment analysis is probably the most well-known application). However, there is virtually no limit to the kinds of things we can predict from text: power, trust, misogyny, are all signaled in language. These algorithms easily scale to corpus sizes infeasible for manual analysis. Prediction algorithms have become steadily more powerful, especially with the advent of neural network methods. However, applying these techniques usually requires profound programming knowledge and machine learning expertise. As a result, many social scientists do not apply them. This Element provides the working social scientist with an overview of the most common methods for text classification, an intuition of their applicability, and Python code to execute them. It covers both the ethical foundations of such work as well as the emerging potential of neural network methods.

Computational Analysis of Communication

Author : Wouter van Atteveldt
Publisher : John Wiley & Sons
ISBN 13 : 1119680239
Total Pages : 341 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Computational Analysis of Communication by : Wouter van Atteveldt

Download or read book Computational Analysis of Communication written by Wouter van Atteveldt and published by John Wiley & Sons. This book was released on 2022-03-02 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides clear guidance on leveraging computational techniques to answer social science questions In disciplines such as political science, sociology, psychology, and media studies, the use of computational analysis is rapidly increasing. Statistical modeling, machine learning, and other computational techniques are revolutionizing the way electoral results are predicted, social sentiment is measured, consumer interest is evaluated, and much more. Computational Analysis of Communication teaches social science students and practitioners how computational methods can be used in a broad range of applications, providing discipline-relevant examples, clear explanations, and practical guidance. Assuming little or no background in data science or computer linguistics, this accessible textbook teaches readers how to use state-of-the art computational methods to perform data-driven analyses of social science issues. A cross-disciplinary team of authors—with expertise in both the social sciences and computer science—explains how to gather and clean data, manage textual, audio-visual, and network data, conduct statistical and quantitative analysis, and interpret, summarize, and visualize the results. Offered in a unique hybrid format that integrates print, ebook, and open-access online viewing, this innovative resource: Covers the essential skills for social sciences courses on big data, data visualization, text analysis, predictive analytics, and others Integrates theory, methods, and tools to provide unified approach to the subject Includes sample code in Python and links to actual research questions and cases from social science and communication studies Discusses ethical and normative issues relevant to privacy, data ownership, and reproducible social science Developed in partnership with the International Communication Association and by the editors of Computational Communication Research Computational Analysis of Communication is an invaluable textbook and reference for students taking computational methods courses in social sciences, and for professional social scientists looking to incorporate computational methods into their work.

Doing Computational Social Science

Author : John McLevey
Publisher : SAGE
ISBN 13 : 1529737591
Total Pages : 556 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Doing Computational Social Science by : John McLevey

Download or read book Doing Computational Social Science written by John McLevey and published by SAGE. This book was released on 2021-12-15 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational approaches offer exciting opportunities for us to do social science differently. This beginner’s guide discusses a range of computational methods and how to use them to study the problems and questions you want to research. It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline. The book also: Considers important principles of social scientific computing, including transparency, accountability and reproducibility. Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases. Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed. For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Computational Conflict Research

Author : Emanuel Deutschmann
Publisher : Springer Nature
ISBN 13 : 3030293335
Total Pages : 264 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Computational Conflict Research by : Emanuel Deutschmann

Download or read book Computational Conflict Research written by Emanuel Deutschmann and published by Springer Nature. This book was released on 2019-11-09 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book brings together a set of original studies that use cutting-edge computational methods to investigate conflict at various geographic scales and degrees of intensity and violence. Methodologically, this book covers a variety of computational approaches from text mining and machine learning to agent-based modelling and social network analysis. Empirical cases range from migration policy framing in North America and street protests in Iran to violence against civilians in Congo and food riots world-wide. Supplementary materials in the book include a comprehensive list of the datasets on conflict and dissent, as well as resources to online repositories where the annotated code and data of individual chapters can be found and where (agent-based) models can be re-produced and altered. These materials are a valuable resource for those wishing to retrace and learn from the analyses described in this volume and adapt and apply them to their own research interests. By bringing together novel research through an international team of scholars from a range of disciplines, Computational Conflict Research pioneers and maps this emerging field. The book will appeal to students, scholars, and anyone interested in the prospects of using computational social sciences to advance our understanding of conflict dynamics.

Energy Justice in the Era of Green Transitions

Author : Edgar Liu
Publisher : Frontiers Media SA
ISBN 13 : 2889746429
Total Pages : 164 pages
Book Rating : 4.8/5 (897 download)

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Book Synopsis Energy Justice in the Era of Green Transitions by : Edgar Liu

Download or read book Energy Justice in the Era of Green Transitions written by Edgar Liu and published by Frontiers Media SA. This book was released on 2022-03-10 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Methods for Communication Science

Author : Wouter van Atteveldt
Publisher : Routledge
ISBN 13 : 1000370224
Total Pages : 175 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Computational Methods for Communication Science by : Wouter van Atteveldt

Download or read book Computational Methods for Communication Science written by Wouter van Atteveldt and published by Routledge. This book was released on 2021-03-29 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Methods for Communication Science showcases the use of innovative computational methods in the study of communication. This book discusses the validity of using big data in communication science and showcases a number of new methods and applications in the fields of text and network analysis. Computational methods have the potential to greatly enhance the scientific study of communication because they allow us to move towards collaborative large-N studies of actual behavior in its social context. This requires us to develop new skills and infrastructure and meet the challenges of open, valid, reliable, and ethical "big data" research. This volume brings together a number of leading scholars in this emerging field, contributing to the increasing development and adaptation of computational methods in communication science. The chapters in this book were originally published as a special issue of the journal Communication Methods and Measures.

Computational Social Science

Author : R. Michael Alvarez
Publisher : Cambridge University Press
ISBN 13 : 1107107881
Total Pages : 339 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis Computational Social Science by : R. Michael Alvarez

Download or read book Computational Social Science written by R. Michael Alvarez and published by Cambridge University Press. This book was released on 2016-03-10 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of cutting-edge approaches to computational social science.

Handbook of Computational Social Science, Volume 1

Author : Uwe Engel
Publisher : Routledge
ISBN 13 : 1000448614
Total Pages : 485 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Handbook of Computational Social Science, Volume 1 by : Uwe Engel

Download or read book Handbook of Computational Social Science, Volume 1 written by Uwe Engel and published by Routledge. This book was released on 2021-11-10 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches. The Handbook is divided into two volumes written by outstanding, internationally renowned scholars in the field. This first volume focuses on the scope of computational social science, ethics, and case studies. It covers a range of key issues, including open science, formal modeling, and the social and behavioral sciences. This volume explores major debates, introduces digital trace data, reviews the changing survey landscape, and presents novel examples of computational social science research on sensing social interaction, social robots, bots, sentiment, manipulation, and extremism in social media. The volume not only makes major contributions to the consolidation of this growing research field but also encourages growth in new directions. With its broad coverage of perspectives (theoretical, methodological, computational), international scope, and interdisciplinary approach, this important resource is integral reading for advanced undergraduates, postgraduates, and researchers engaging with computational methods across the social sciences, as well as those within the scientifi c and engineering sectors.

Programming with Python for Social Scientists

Author : Phillip D. Brooker
Publisher : SAGE
ISBN 13 : 1526486342
Total Pages : 354 pages
Book Rating : 4.5/5 (264 download)

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Book Synopsis Programming with Python for Social Scientists by : Phillip D. Brooker

Download or read book Programming with Python for Social Scientists written by Phillip D. Brooker and published by SAGE. This book was released on 2019-12-09 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.

Introduction to Python Programming for Business and Social Science Applications

Author : Frederick Kaefer
Publisher : SAGE Publications
ISBN 13 : 1544377487
Total Pages : 542 pages
Book Rating : 4.5/5 (443 download)

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Book Synopsis Introduction to Python Programming for Business and Social Science Applications by : Frederick Kaefer

Download or read book Introduction to Python Programming for Business and Social Science Applications written by Frederick Kaefer and published by SAGE Publications. This book was released on 2020-08-06 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Would you like to gather big datasets, analyze them, and visualize the results, all in one program? If this describes you, then Introduction to Python Programming for Business and Social Science Applications is the book for you. Authors Frederick Kaefer and Paul Kaefer walk you through each step of the Python package installation and analysis process, with frequent exercises throughout so you can immediately try out the functions you’ve learned. Written in straightforward language for those with no programming background, this book will teach you how to use Python for your research and data analysis. Instead of teaching you the principles and practices of programming as a whole, this application-oriented text focuses on only what you need to know to research and answer social science questions. The text features two types of examples, one set from the General Social Survey and one set from a large taxi trip dataset from a major metropolitan area, to help readers understand the possibilities of working with Python. Chapters on installing and working within a programming environment, basic skills, and necessary commands will get you up and running quickly, while chapters on programming logic, data input and output, and data frames help you establish the basic framework for conducting analyses. Further chapters on web scraping, statistical analysis, machine learning, and data visualization help you apply your skills to your research. More advanced information on developing graphical user interfaces (GUIs) help you create functional data products using Python to inform general users of data who don’t work within Python. First there was IBM® SPSS®, then there was R, and now there′s Python. Statistical software is getting more aggressive - let authors Frederick Kaefer and Paul Kaefer help you tame it with Introduction to Python Programming for Business and Social Science Applications.

Text as Data

Author : Justin Grimmer
Publisher : Princeton University Press
ISBN 13 : 0691207550
Total Pages : 360 pages
Book Rating : 4.6/5 (912 download)

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Book Synopsis Text as Data by : Justin Grimmer

Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry

Computational Thinking and Social Science

Author : Matti Nelimarkka
Publisher : SAGE
ISBN 13 : 1529756308
Total Pages : 503 pages
Book Rating : 4.5/5 (297 download)

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Book Synopsis Computational Thinking and Social Science by : Matti Nelimarkka

Download or read book Computational Thinking and Social Science written by Matti Nelimarkka and published by SAGE. This book was released on 2022-11-30 with total page 503 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whilst providing a fundamental understanding of computational social science, this book delves into the tools and techniques used to build familiarity with programming and gain context into how, why and when they are introduced. The overall focus is on helping you understand and design computational social science research, alongside delving into hands-on coding and technical instruction. Key features include: Further reading Exercises accompanied by sample code Programming examples in Scratch, Python and R Key concepts Chapter summaries With experience in course design and teaching, Matti Nelimarkka has a deep understanding of learning techniques within computational social sciences, with the main aim of blending researching, thinking and designing together to gain a grounded foundation for coding, programming, methodologies and key concepts.

Power and Politics in the Media

Author : Robert X. Browning
Publisher : Purdue University Press
ISBN 13 : 1612498930
Total Pages : 231 pages
Book Rating : 4.6/5 (124 download)

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Book Synopsis Power and Politics in the Media by : Robert X. Browning

Download or read book Power and Politics in the Media written by Robert X. Browning and published by Purdue University Press. This book was released on 2023-12-15 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Power and Politics in the Media: The Year in C-SPAN Archives Research, Volume 9 features articles from multiple disciplines that use the C-SPAN Video Library to explore recent controversies in American politics. Topics covered include Supreme Court nominations, Supreme Court oral arguments, rhetoric on disasters and COVID-19, and the effect of clothing on the approval of women in power. What unites these topics is the unique use of the video record of C-SPAN to explore the intersections of politics, power, rhetoric, and the media in the contemporary United States. Written in accessible prose, this volume showcases some of the most pressing issues today in a variety of political and communication issues while demonstrating video research methodologies.