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Using Python For Text Analysis In Accounting Research
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Book Synopsis Using Python for Text Analysis in Accounting Research by : Vic Anand
Download or read book Using Python for Text Analysis in Accounting Research written by Vic Anand and published by . This book was released on 2020-12-03 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides an interactive step-by-step framework for analyzing spoken or written language for faculty and PhD students in social sciences. The goal is to demonstrate how textual analysis can enhance research by automatically extracting new and previously unknown information from disclosures, news articles, and social media posts.
Book Synopsis The Routledge Handbook of Accounting Information Systems by : Erik Strauss
Download or read book The Routledge Handbook of Accounting Information Systems written by Erik Strauss and published by Taylor & Francis. This book was released on 2022-11-25 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of Accounting Information Systems is a prestige reference work offering a comprehensive overview of the state of current knowledge and emerging scholarship in the discipline of AIS. The pace of technological-driven change is rapid, and this revised edition provides a deeper focus on the technical underpinnings and organisational consequences of accounting information systems. It has been updated to capture the changes in technology since the previous edition. It now includes chapters and scholarly thought on artificial intelligence, predictive analytics and data visualisation, among others. Contributions from an international cast of authors provide a balanced overview of established and developing themes, identifying issues and discussing relevant debates. The chapters are analytical and engaging. Many chapters include cases or examples, and some provide additional resources for readers. The chapters also provide a reflection on where the research agenda is likely to advance in the future. This is a complete and indispensable guide for students and researchers in accounting and accounting information systems, academics and students seeking convenient access to an unfamiliar area, as well as established researchers seeking a single repository on the current debates and literature in the field.
Book Synopsis Text Analytics with Python by : Dipanjan Sarkar
Download or read book Text Analytics with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2016-11-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data
Book Synopsis Advances in Accounting Education by : Thomas G. Calderon
Download or read book Advances in Accounting Education written by Thomas G. Calderon and published by Emerald Group Publishing. This book was released on 2023-12-14 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Accounting Education: Teaching and Curriculum Innovations Volume 27 features 11 peer-reviewed papers surrounding the themes of applied professional research and skills building, generative artificial intelligence and analytics in the accounting curriculum then innovative practices in cost accounting and other areas.
Book Synopsis Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) by : Gaikar Vilas Bhau
Download or read book Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis (MSEA 2022) written by Gaikar Vilas Bhau and published by Springer Nature. This book was released on 2022-12-22 with total page 1514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Book Synopsis Positive organizational psychology and leadership in organizational behavior and culture by : Gozde Sezen-Gultekin
Download or read book Positive organizational psychology and leadership in organizational behavior and culture written by Gozde Sezen-Gultekin and published by Frontiers Media SA. This book was released on 2023-10-06 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Python for Finance Cookbook by : Eryk Lewinson
Download or read book Python for Finance Cookbook written by Eryk Lewinson and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.
Book Synopsis Interventionist Research in Accounting by : Vicki C. Baard
Download or read book Interventionist Research in Accounting written by Vicki C. Baard and published by Routledge. This book was released on 2020-10-08 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the first comprehensive methodological guide for accounting researchers on Interventionist Research (IVR). It provides all the fundamental components needed for understanding what IVR is, and how to plan, design, and conduct legitimate intervention studies, which can endure the scrutiny of institutions and peer review. This text systematically opens the ‘black box’ of an alternative research paradigm seeking to contribute simultaneously to theory and practice, through direct and collaborative engagement with organisations, practitioners, managers and professionals. It mobilises the production of innovative and theoretically grounded research for academe, and of practical relevance or usefulness and interest to the field of practice. Interventionist Research in Accounting: A Methodological Approach unpacks current thinking on IVR to forge a confident path ahead for IVR through adopting a forward-thinking approach. This book recognises the remedial potential of IVR to address the research-practice-relevance gap in accounting research and deliberates the challenges of IVR in accounting. It addresses the design, development, and implementation of interventions, critical to solving real-world problems as well as guiding readers in planning the IVR project including budgetary and ethical aspects, utilising suitable research methods and data collection techniques, and establishing validity and reliability. Further, it offers guidance on selecting and managing the research team and recruiting, accessing, and retaining intervention participants; these two components are crucial to creating collaborative relationships required for effective intervention. This book is a guide serving as a valuable resource for accounting researchers conducting intervention studies, for doctoral and other research students undertaking accounting research, and academics working in universities and business schools or teaching courses in accounting and research methodology.
Book Synopsis Sustainability of Digital Transformation for the Environment by : Evgeny Kuzmin
Download or read book Sustainability of Digital Transformation for the Environment written by Evgeny Kuzmin and published by Frontiers Media SA. This book was released on 2024-02-27 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: On 2 June 2022 in Stockholm, an UN-backed coalition of 1,000 stakeholders from over 100 countries launched an Action Plan to steer digitalization towards accelerating environmentally and socially sustainable development. The Coalition for Digital Environmental Sustainability aims to help reorient and prioritize the application of digital technologies to meet the 2030 Agenda for Sustainable Development and address the triple planetary crisis of climate change, biodiversity loss, and pollution and waste. Inspired by this Agenda, we have directed our research interest toward the search for approaches to sustainable digital transformation for the environment. This Research Topic is a part of our initiative at the annual international scientific conference ‘Digital Transformation in Industry’ (DTI), held by the Institute of Economics of the Ural Branc
Book Synopsis The Routledge Companion to Qualitative Accounting Research Methods by : Zahirul Hoque
Download or read book The Routledge Companion to Qualitative Accounting Research Methods written by Zahirul Hoque and published by Taylor & Francis. This book was released on 2017-03-31 with total page 542 pages. Available in PDF, EPUB and Kindle. Book excerpt: Selecting from the wide range of research methodologies remains a dilemma for all scholars, not least those looking to study the world of accounting. Both established and emerging research methods are frequently advocated, creating a challengingly broad range of choices. Covering a selection of qualitative methodological issues, research strategies and methods, this comprehensive compilation provides an essential guide to the choice and execution of qualitative research approaches in this field. The contributions are grouped into four sections: Worldview and paradigms Methodologies and strategies Data collection methods and analysis Experiencing qualitative field research: personal reflections Edited by leading scholars, with contributions from experts and rising stars, this volume will be essential reading for anyone looking to undertake research in the qualitative accounting field.
Book Synopsis Practical Data Analysis by : Dhiraj Bhuyan
Download or read book Practical Data Analysis written by Dhiraj Bhuyan and published by Dhiraj Bhuyan. This book was released on 2019-11-30 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Practical Data Analysis – Using Python & Open Source Technology” uses a case-study based approach to explore some of the real-world applications of open source data analysis tools and techniques. Specifically, the following topics are covered in this book: 1. Open Source Data Analysis Tools and Techniques. 2. A Beginner’s Guide to “Python” for Data Analysis. 3. Implementing Custom Search Engines On The Fly. 4. Visualising Missing Data. 5. Sentiment Analysis and Named Entity Recognition. 6. Automatic Document Classification, Clustering and Summarisation. 7. Fraud Detection Using Machine Learning Techniques. 8. Forecasting - Using Data to Map the Future. 9. Continuous Monitoring and Real-Time Analytics. 10. Creating a Robot for Interacting with Web Applications. Free samples of the book is available at - http://timesofdatascience.com
Book Synopsis Economic Management And Big Data Application - Proceedings Of The 3rd International Conference by : Sikandar Ali Qalati
Download or read book Economic Management And Big Data Application - Proceedings Of The 3rd International Conference written by Sikandar Ali Qalati and published by World Scientific. This book was released on 2024-01-03 with total page 1185 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book mainly focuses on the research fields of Economic Management and Big Data Applications, specifically on the combination of the two. It covers all the excellent papers presented in the 3rd International Conference on Economic Management and Big Data Application (ICEMBDA 2022), and aims to provide a solid reference for experts and scholars engaged in the fields of economics, management science, data modeling and cloud computing, to share typical cases, scientific methods, cutting-edge technologies and novel insights. In this age of data, the book initiated by the researchers and analysts from various related disciplines will provide more knowledge, technical support and directional guidance to promote the development and upgrading of research in management science and economic research.
Book Synopsis Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) by : Daowen Qiu
Download or read book Proceedings of the 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) written by Daowen Qiu and published by Springer Nature. This book was released on 2022-12-28 with total page 1730 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. As a leading role in the global megatrend of scientific innovation, China has been creating a more and more open environment for scientific innovation, increasing the depth and breadth of academic cooperation, and building a community of innovation that benefits all. These endeavors have made new contribution to globalization and creating a community of shared future. With the rapid development of modern economic society, in the process of economic management, informatization has become the mainstream of economic development in the future. At the same time, with the emergence of advanced management technologies such as blockchain technology and big data technology, real market information can be quickly obtained in the process of economic management, which greatly reduces the operating costs of the market economy and effectively enhances the management level of operators, thus contributing to the sustained, rapid and healthy development of the market economy. Under the new situation, the innovative application of economic management research is of great practical significance. 2022 International Conference on Bigdata, Blockchain and Economic Management (ICBBEM 2022) will be held on March 25–27, 2022 in Wuhan, China. ICBBEM 2022 will focus on the latest fields of Bigdata, Blockchain and Economic Management to provide an international platform for experts, professors, scholars and engineers from universities, scientific institutes, enterprises and government-affiliated institutions at home and abroad to share experiences, to expand professional fields, to exchange new ideas face to face, to present research results, and to discuss the key challenging issues and research directions facing the development of this field, with a view to promoting the development and application of theories and technologies in universities and enterprises.
Download or read book Text Mining with R written by Julia Silge and published by "O'Reilly Media, Inc.". This book was released on 2017-06-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapter 7. Case Study : Comparing Twitter Archives; Getting the Data and Distribution of Tweets; Word Frequencies; Comparing Word Usage; Changes in Word Use; Favorites and Retweets; Summary; Chapter 8. Case Study : Mining NASA Metadata; How Data Is Organized at NASA; Wrangling and Tidying the Data; Some Initial Simple Exploration; Word Co-ocurrences and Correlations; Networks of Description and Title Words; Networks of Keywords; Calculating tf-idf for the Description Fields; What Is tf-idf for the Description Field Words?; Connecting Description Fields to Keywords; Topic Modeling.
Book Synopsis Handbook of Research Methods and Applications in Empirical Microeconomics by : Hashimzade, Nigar
Download or read book Handbook of Research Methods and Applications in Empirical Microeconomics written by Hashimzade, Nigar and published by Edward Elgar Publishing. This book was released on 2021-11-18 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written in a comprehensive yet accessible style, this Handbook introduces readers to a range of modern empirical methods with applications in microeconomics, illustrating how to use two of the most popular software packages, Stata and R, in microeconometric applications.
Download or read book FFIT 2022 written by Holger Haldenwang and published by European Alliance for Innovation. This book was released on 2023-04-14 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2022 International Conference on Financial Innovation, FinTech and Information Technology (FFIT 2022), hosted by Shenzhen University of Technology and organized by the Financial Innovation and Fintech Research Center of Shenzhen University of Technology, was held on October 28-30, 2022 in Shenzhen, China. Due to the current COVID-19 pandemic and the strict travelling rules, it is still difficult to take international travel for all our attendees to participate in the conference. Therefore, FFIT 2022 was held as a hybrid event. FFIT 2022 brought together innovative academics and industrial experts in the field of Financial Innovation, Financial Technology and Information Technology to discuss the latest research results in this field.
Book Synopsis Data Science Using Python and R by : Chantal D. Larose
Download or read book Data Science Using Python and R written by Chantal D. Larose and published by John Wiley & Sons. This book was released on 2019-04-09 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.
