Download or read book Societal Impact Factors and Major Challenges for Natural Language Processing written by Szahel Kumke and published by GRIN Verlag. This book was released on 2021-09-10 with total page 20 pages. Available in PDF, EPUB and Kindle. Book excerpt: Academic Paper from the year 2019 in the subject English Language and Literature Studies - Culture and Applied Geography, grade: 1,3, University of Kassel, language: English, abstract: What is math about? Basically spoken, it is about uniting separate parts and bringing together something new. To understand and to read the new creation, it is important to understand the meaning of each part to create further meaning of the whole. Where is the difference to language? To properly understand a language it is important to split it into smaller units and to understand the meaning of each unit it is necessary and helpful to understand the whole language. The mathematical formula is 1+1= language. Firstly, this seems to be confusing but lately, logical. Language does consist of smaller units which, once brought together, build up to a new system, a whole language. To understand a language it is therefore indispensable to understand logical connections but it is not necessary to be a math genius. Today’s most striking field of linguistic, Natural Language Processing (NLP), combines the ability to think logically and to analyse language in an encompassing manner. The aim of this paper is to give a brief introduction on what is Natural Language Processing (NLP) and further, to define several challenges NLP has to face due to online data bias. The challenges which concern the field of technology as well as they influence the social impact form a work frame for the overlaying field of ethical challenges in online data which are going to be displayed in this paper. Not only existing challenges but also future solutions will be a subject of discussion.

Download or read book Natural Language Processing for Social Media written by Atefeh Farzindar and published by Morgan & Claypool Publishers. This book was released on 2017-12-15 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has been increasingly focusing on the latter's impact on our daily lives, both on a personal and a professional level. Natural language processing (NLP) is one of the most promising avenues for social media data processing. It is a scientific challenge to develop powerful methods and algorithms which extract relevant information from a large volume of data coming from multiple sources and languages in various formats or in free form. We discuss the challenges in analyzing social media texts in contrast with traditional documents. Research methods in information extraction, automatic categorization and clustering, automatic summarization and indexing, and statistical machine translation need to be adapted to a new kind of data. This book reviews the current research on NLP tools and methods for processing the non-traditional information from social media data that is available in large amounts (big data), and shows how innovative NLP approaches can integrate appropriate linguistic information in various fields such as social media monitoring, healthcare, business intelligence, industry, marketing, and security and defence. We review the existing evaluation metrics for NLP and social media applications, and the new efforts in evaluation campaigns or shared tasks on new datasets collected from social media. Such tasks are organized by the Association for Computational Linguistics (such as SemEval tasks) or by the National Institute of Standards and Technology via the Text REtrieval Conference (TREC) and the Text Analysis Conference (TAC). In the concluding chapter, we discuss the importance of this dynamic discipline and its great potential for NLP in the coming decade, in the context of changes in mobile technology, cloud computing, virtual reality, and social networking. In this second edition, we have added information about recent progress in the tasks and applications presented in the first edition. We discuss new methods and their results. The number of research projects and publications that use social media data is constantly increasing due to continuously growing amounts of social media data and the need to automatically process them. We have added 85 new references to the more than 300 references from the first edition. Besides updating each section, we have added a new application (digital marketing) to the section on media monitoring and we have augmented the section on healthcare applications with an extended discussion of recent research on detecting signs of mental illness from social media.

Download or read book Challenges in Natural Language Processing written by Madeleine Bates and published by Cambridge University Press. This book was released on 1993-09-24 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses theoretical or applied work in the field of natural language processing.

Download or read book Ethics and Data Science written by Mike Loukides and published by "O'Reilly Media, Inc.". This book was released on 2018-07-25 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the impact of data science continues to grow on society there is an increased need to discuss how data is appropriately used and how to address misuse. Yet, ethical principles for working with data have been available for decades. The real issue today is how to put those principles into action. With this report, authors Mike Loukides, Hilary Mason, and DJ Patil examine practical ways for making ethical data standards part of your work every day. To help you consider all of possible ramifications of your work on data projects, this report includes: A sample checklist that you can adapt for your own procedures Five framing guidelines (the Five C’s) for building data products: consent, clarity, consistency, control, and consequences Suggestions for building ethics into your data-driven culture Now is the time to invest in a deliberate practice of data ethics, for better products, better teams, and better outcomes. Get a copy of this report and learn what it takes to do good data science today.

Download or read book Natural Language Processing in Biomedicine written by Hua Xu and published by Springer Nature. This book was released on with total page 449 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Download or read book Natural Language Processing with SAS written by and published by . This book was released on 2020-08-31 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and emulate written or spoken human language. NLP draws from many disciplines including human-generated linguistic rules, machine learning, and deep learning to fill the gap between human communication and machine understanding. The papers included in this special collection demonstrate how NLP can be used to scale the human act of reading, organizing, and quantifying text data.

Download or read book The SAGE Handbook of Digital Society written by William Housley and published by SAGE. This book was released on 2022-11-23 with total page 669 pages. Available in PDF, EPUB and Kindle. Book excerpt: This SAGE Handbook brings together cutting edge social scientific research and theoretical insight into the emerging contours of digital society. Chapters explore the relationship between digitisation, social organisation and social transformation at both the macro and micro level, making this a valuable resource for postgraduate students and academics conducting research across the social sciences. The topics covered are impressively far-ranging and timely, including machine learning, social media, surveillance, misinformation, digital labour, and beyond. This innovative Handbook perfectly captures the state of the art of a field which is rapidly gaining cross-disciplinary interest and global importance, and establishes a thematic framework for future teaching and research. Part 1: Theorising Digital Societies Part 2: Researching Digital Societies Part 3: Sociotechnical Systems and Disruptive Technologies in Action Part 4: Digital Society and New Social Dilemmas Part 5: Governance and Regulation Part 6: Digital Futures

Download or read book Challenges and Applications of Data Analytics in Social Perspectives written by Sathiyamoorthi, V. and published by IGI Global. This book was released on 2020-12-04 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

Download or read book Advanced Applications of NLP and Deep Learning in Social Media Data written by Abd El-Latif, Ahmed A. and published by IGI Global. This book was released on 2023-06-05 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social media platforms are one of the main generators of textual data where people around the world share their daily life experiences and information with online society. The social, personal, and professional lives of people on these social networking sites generate not only a huge amount of data but also open doors for researchers and academicians with numerous research opportunities. This ample amount of data needs advanced machine learning, deep learning, and intelligent tools and techniques to receive, process, and interpret the information to resolve real-life challenges and improve the online social lives of people. Advanced Applications of NLP and Deep Learning in Social Media Data bridges the gap between natural language processing (NLP), advanced machine learning, deep learning, and online social media. It hopes to build a better and safer social media space by making human language available on different social media platforms intelligible for machines with the blessings of AI. Covering topics such as machine learning-based prediction, emotion recognition, and high-dimensional text clustering, this premier reference source is an essential resource for OSN service providers, psychiatrists, psychologists, clinicians, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Download or read book Measuring and Analysing Social Determinants of Health in the Era of Big Data written by Yi Guo and published by Frontiers Media SA. This book was released on 2022-06-28 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Sage Handbook of Decision Making Assessment and Risk in Social Work written by Brian J. Taylor and published by SAGE Publications Limited. This book was released on 2023-08-16 with total page 989 pages. Available in PDF, EPUB and Kindle. Book excerpt: The SAGE Handbook on Decision Making, Assessment and Risk in Social Work provides a comprehensive overview of key strands of research and theoretical concepts in this increasingly important field. With 49 chapters and four section summaries, this Handbook describes the ‘state of the art’; discuss key debates and issues; and gives pointers on future directions for practice, research, teaching, management of services, and development of theoretical understandings. A key aim of this Handbook is to support the development of sound, applied knowledge and values to underpin reasoned professional judgement and decision making by social workers in practice and those in management and regulatory roles. With contributions from a global interdisciplinary body of leading and emerging scholars from a wide variety of roles, this handbook has been designed to be internationally generalisable and applicable to all major areas of social work. This Handbook provides a field-defining account of decision making, assessment and risk in social work which is unrivalled for its diversity and strength of coverage, and will be of value to social work researchers, teachers and practitioners, as well as to those in allied fields such as health care. Section 1: Professional Judgement Section 2: Assessment, Risk and Decision Processes Section 3: Assessment Tools and Approaches Section 4: Developing and Managing Practice Section 5: Concluding Section / Afterword

Download or read book Natural Language Processing and Information Systems written by Elisabeth Métais and published by Springer Nature. This book was released on 2023-06-13 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023 The 31 full papers and 14 short papers included in this book were carefully reviewed and selected from 89 submissions. They focus on the developments of the application of natural language to databases and information systems in the wider meaning of the term.

Download or read book Artificial Intelligence The Impact on Society written by Ary S. Jr. and published by Ary S. Jr.. This book was released on 2024-02-19 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth look at the revolutionary advances taking place in the field of artificial intelligence and a thoughtful exploration of their vast implications. It traces the origins and early history of AI, from the pioneering work of figures like Turing and von Neumann to the recent explosion driven by deeper neural networks and bigger data.

Download or read book Human Interaction Emerging Technologies and Future Systems V written by Tareq Ahram and published by Springer Nature. This book was released on 2021-09-09 with total page 1316 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on research and developments in human–technology interaction. A special emphasis is given to human–computer interaction and its implementation for a wide range of purposes such as health care, aerospace, telecommunication, and education, among others. The human aspects are analyzed in detail. Timely studies on human-centered design, wearable technologies, social and affective computing, augmented, virtual and mixed reality simulation, human rehabilitation, and biomechanics represent the core of the book. Emerging technology applications in business, security, and infrastructure are also critically examined, thus offering a timely, scientifically grounded, but also professionally oriented snapshot of the current state of the field. The book gathers contributions presented at the 5th International Conference on Human Interaction and Emerging Technologies (IHIET 2021, August 27–29, 2021) and the 6th International Conference on Human Interaction and Emerging Technologies: Future Systems (IHIET-FS 2021, October 28–30, 2021), held virtually from France. It offers a timely survey and a practice-oriented reference guide to researchers and professionals dealing with design, systems engineering, and management of the next-generation technology and service systems.

Download or read book The Handbook of Computational Linguistics and Natural Language Processing written by Alexander Clark and published by John Wiley & Sons. This book was released on 2013-04-24 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies

Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by "O'Reilly Media, Inc.". This book was released on 2020-06-17 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective