Applied Text Analysis With Python
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Applied Text Mining
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Author : Usman Qamar
language : en
Publisher: Springer Nature
Release Date : 2024-06-10
Applied Text Mining written by Usman Qamar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-10 with Computers categories.
This textbook covers the concepts, theories, and implementations of text mining and natural language processing (NLP). It covers both the theory and the practical implementation, and every concept is explained with simple and easy-to-understand examples. It consists of three parts. In Part 1 which consists of three chapters details about basic concepts and applications of text mining are provided, including eg sentiment analysis and opinion mining. It builds a strong foundation for the reader in order to understand the remaining parts. In the five chapters of Part 2, all the core concepts of text analytics like feature engineering, text classification, text clustering, text summarization, topic mapping, and text visualization are covered. Finally, in Part 3 there are three chapters covering deep-learning-based text mining, which is the dominating method applied to practically all text mining tasks nowadays. Various deep learning approaches to text mining are covered, includingmodels for processing and parsing text, for lexical analysis, and for machine translation. All three parts include large parts of Python code that shows the implementation of the described concepts and approaches. The textbook was specifically written to enable the teaching of both basic and advanced concepts from one single book. The implementation of every text mining task is carefully explained, based Python as the programming language and Spacy and NLTK as Natural Language Processing libraries. The book is suitable for both undergraduate and graduate students in computer science and engineering.
Learning Data Science
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Author : Sam Lau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2023-09-15
Learning Data Science written by Sam Lau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-15 with Computers categories.
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions--whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights. We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle. It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide. If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with data Pursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualization Learn how to use modeling to describe the data Generalize findings beyond the data
Beginner S Guide To R Programming
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Author : Agasti Khatri
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Beginner S Guide To R Programming written by Agasti Khatri and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Computers categories.
Discover the world of data analysis with "Beginner's Guide to R Programming." This comprehensive resource is crafted to help individuals learn the R programming language and explore its diverse applications. Whether you're a complete beginner or an experienced analyst, our book offers a structured learning path that starts with the basics and progresses to advanced topics like statistical analysis, data visualization, and machine learning. Each chapter includes practical examples, exercises, and real-world case studies, encouraging hands-on experimentation with R code. You'll delve into data types, functions, data manipulation, statistical analysis, data visualization, and more, building a solid foundation in R programming and data analysis. Complex concepts are explained in clear, easy-to-understand language, with visual aids, code snippets, and step-by-step tutorials to help you grasp key ideas effectively. The book emphasizes practical applications of R in real-world scenarios, showcasing how you can use R to solve problems, analyze data, make informed decisions, and communicate insights. With access to supplementary resources, including downloadable datasets, code samples, and additional exercises, you'll further enhance your learning experience and practice your skills.
Pattern Recognition And Artificial Intelligence
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Author : Fausto Pedro García Márquez
language : en
Publisher: Springer Nature
Release Date : 2025-10-18
Pattern Recognition And Artificial Intelligence written by Fausto Pedro García Márquez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-18 with Computers categories.
This book presents a diverse collection of cutting-edge research from the 6th Mediterranean Conference on Pattern Recognition and Artificial Intelligence (MedPRAI24). Covering a wide range of topics, it explores the latest advancements in AI-driven applications, including machine learning for healthcare, cybersecurity, historical document analysis, and digital media. Readers will find studies on AI in social sciences, literature, and governance, alongside technical innovations in image processing, speech analysis, and deep learning. With interdisciplinary contributions spanning engineering, humanities, and political sciences, this volume provides valuable insights into the evolving role of artificial intelligence across multiple domains.
Python For Excel Users
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Author : Chi-Chun Chou
language : en
Publisher: CRC Press
Release Date : 2025-10-06
Python For Excel Users written by Chi-Chun Chou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-06 with Business & Economics categories.
Introduction: Elevate Your Analytics with Python In today’s data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector. Python for Excel Users: A Beginner’s Guide is tailored for business students and professionals who are proficient in Microsoft Excel but are ready to embark on their Python journey. As a powerful and versatile programming language, Python has become indispensable in data analysis. This book bridges the gap between Excel and Python by providing parallel exercises that demonstrate how Python can amplify business analytics tasks with unmatched efficiency and flexibility. Through its side-by-side comparisons, interactive Python exercises, and a "teachable moment" approach, this guide offers a unique and intuitive learning experience. By translating familiar Excel tasks into Python’s dynamic and versatile ecosystem, you’ll not only enhance your data analysis skills but also gain confidence in programming. Why Python? Did you know that Python powers cutting-edge technologies like ChatGPT? Indeed, Python forms the foundation of many machine learning algorithms, including large language models (LLMs). Python is more than a programming language; it’s a tool for understanding and shaping the digital world. Despite its advanced capabilities, Python’s simple, readable syntax makes it accessible to everyone – from professional software developers to citizen developers like you. Dubbed the "language of the people," Python is revolutionizing how we approach problem-solving and automation in the modern world. Becoming Tomorrow’s Tech- Savvy Leaders The leaders of tomorrow are not just visionaries – they are innovators who harness the power of technology to drive change and inspire others. This book guides you through different scenarios to help you understand the connections between business questions and analytics steps we are taking. As business students embracing Python, you’re positioning yourselves as future-ready leaders equipped to navigate and excel in the complexities of modern business. Welcome to a journey that will elevate your analytics, expand your technological fluency, and transform you into a tech-savvy leader of the future.
Text Analysis With Python A Research Oriented Guide
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Author : Mamta Mittal
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-08-12
Text Analysis With Python A Research Oriented Guide written by Mamta Mittal and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.
Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a structured and progressive way. Key Features · Introduces the reader to Python programming and data processing · Introduces the reader to the preliminaries of natural language processing (NLP) · Covers data analysis and visualization using predefined python libraries and datasets · Teaches how to write text mining programs in Python · Includes text classification and clustering techniques · Informs the reader about different types of neural networks for text analysis · Includes advanced analytical techniques such as fuzzy logic and deep learning techniques · Explains concepts in a simplified and structured way that is ideal for learners · Includes References for further reading Text Analysis with Python: A Research-Oriented Guide is an ideal guide for students in data science and computer science courses, and for researchers and analysts who want to work on artificial intelligence projects that require the application of text mining and NLP techniques.
Analysing Student Feedback In Higher Education
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Author : Elena Zaitseva
language : en
Publisher: Routledge
Release Date : 2021-12-29
Analysing Student Feedback In Higher Education written by Elena Zaitseva and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-29 with Education categories.
Analysing Student Feedback in Higher Education provides an in-depth analysis of ‘mining’ student feedback that goes beyond numerical measures of student satisfaction or engagement. By including authentic student voices for understanding the student experience, this book will inform strategies for quality improvement in higher education globally. With contributions, representing an international community of academics, educational developers, institutional data analysts and student-researchers, this book reflects on the role of computer-aided text analysis in gaining insight of student views. The chapters explore the applications of text-mining in different forms, these include varied institutional contexts, using a range of instruments and pursuing different institutional aims and objectives. Contributors provide insights enabled by computer-aided analysis in distilling the student voice and turning large volumes of data into useful information and knowledge to inform actions. Practical tips and core principles are explored to assist academic institutions when embarking on analysing qualitative student feedback. Written for a wide audience, Analysing Student Feedback in Higher Education provides those making informed decisions about how to approach analyses of large volumes of student narratives, with the benefit of learning from the experiences of those who already started treading this path. It enables academic developers, institutional researchers, academics, and administrators to see how bringing text mining to their institutions can help them in better understanding and using the student voice to improve practice.
Text Analysis With Python
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Author : Mamta Mittal; Gopi
language : en
Publisher:
Release Date : 2022-08-12
Text Analysis With Python written by Mamta Mittal; Gopi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with categories.
Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a structured and progressive way. Key Features · Introduces the reader to Python programming and data processing · Introduces the reader to the preliminaries of natural language processing (NLP) · Covers data analysis and visualization using predefined python libraries and datasets · Teaches how to write text mining programs in Python · Includes text classification and clustering techniques · Informs the reader about different types of neural networks for text analysis · Includes advanced analytical techniques such as fuzzy logic and deep learning techniques · Explains concepts in a simplified and structured way that is ideal for learners · Includes References for further reading Text Analysis with Python: A Research-Oriented Guide is an ideal guide for students in data science and computer science courses, and for researchers and analysts who want to work on artificial intelligence projects that require the application of text mining and NLP techniques.
The Palgrave Encyclopedia Of Interest Groups Lobbying And Public Affairs
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Author : Phil Harris
language : en
Publisher: Springer Nature
Release Date : 2022-06-20
The Palgrave Encyclopedia Of Interest Groups Lobbying And Public Affairs written by Phil Harris and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-20 with Political Science categories.
The growing need for a concise and comprehensive overview of the world of interest groups, lobbying, and public affairs called for a compendium of existing research, key theories, concepts, and case studies. This project is the first transnational encyclopedia to offer such an interdisciplinary and wide overview of these topics, including perspectives on public relations, crisis management, communication studies, as well as political science, political marketing, and policy studies. It is an interdisciplinary work, which involved an extraordinary pool of contributors made up of leading scholars and practitioners from all around the globe; it is a live and evolving project focused on drawing together grounded international knowledge for our diverse and developing world. The 200+ entries of the Palgrave Encyclopedia of Interest Groups, Lobbying and Public Affairs (to be found as a live reference work online here, and in two print volumes in 2022) address these research avenues, tackling a growing demand for a comprehensive international reference work regarding key global sectors and policymaking structures, looking beyond the traditional markets of Europe and North America to incorporate practice and research from Asia, Africa, Oceania, and Latin America. This encyclopedia acts as a synthesis of existing research, and aims to aid academics, students, and practitioners navigate their relevant fields around the globe.