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Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data


Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data
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Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data


Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data
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Author : Asian Development Bank
language : en
Publisher: Asian Development Bank
Release Date : 2022-08-01

Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data written by Asian Development Bank and has been published by Asian Development Bank this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Technology & Engineering categories.


The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.



Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data


Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data
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Author : Asian Development Bank
language : en
Publisher:
Release Date : 2022-08-24

Mapping The Public Voice For Development Natural Language Processing Of Social Media Text Data written by Asian Development Bank and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-24 with categories.


This publication explores how natural language processing (NLP) techniques can be applied to social media text data to map public sentiment and inform development research and policy making. The publication introduces the foundations of natural language analyses and showcases studies that have applied NLP techniques to make progress on the Sustainable Development Goals. It also reviews specific NLP techniques and concepts, supported by two case studies. The first case study analyzes public sentiments on the coronavirus disease (COVID-19) in the Philippines while the second case study explores the public debate on climate change in Australia.



Technological Innovations For Managing Tropical Diseases


Technological Innovations For Managing Tropical Diseases
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Author : Matthew Chidozie Ogwu
language : en
Publisher: Springer Nature
Release Date : 2025-02-19

Technological Innovations For Managing Tropical Diseases written by Matthew Chidozie Ogwu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-19 with Medical categories.


Tropical diseases continue to impose a significant burden on global health, particularly in low- and middle-income regions. These diseases challenge healthcare systems, exacerbate economic disparities, and threaten global public health. In this rapidly evolving landscape, integrating advanced technologies offers unprecedented opportunities to transform the prevention, diagnosis, monitoring, and treatment of tropical diseases. This groundbreaking volume explores biosensor advancements, wearable technologies, artificial intelligence, predictive modeling, mobile health, and biotechnological innovations. Each chapter delves into how these cutting-edge solutions address the unique challenges of tropical diseases, from improving diagnostics and disease surveillance to enabling equitable access to care in resource-limited settings. The book also examines the ethical, technical, and economic barriers to implementation, providing actionable strategies to overcome these challenges. Key features include: In-depth analysis of innovative diagnostic tools, including biosensors and IoT-enabled wearables. Insights into AI and machine learning applications for outbreak prediction and resource allocation. Case studies of mobile health, telemedicine, and robotics in tropical disease management. Exploration of biotechnological and therapeutic advances tailored to tropical diseases. Critical analysis of ethical considerations, data security, and equitable technology access. A forward-looking perspective on emerging trends and their alignment with global health goals. Aligned with the United Nations Sustainable Development Goals (SDGs), this book emphasizes the role of technology in achieving SDG 3 (Good Health and Well-being) and SDG 9 (Industry, Innovation, and Infrastructure). It is an indispensable resource for public health professionals, researchers, policymakers, bioengineers, healthcare technologists, and academics seeking to address the complexities of tropical diseases with innovative, sustainable solutions. This is a transformative guide to leveraging technology for a healthier, more resilient world.



Natural Language Processing For Social Media


Natural Language Processing For Social Media
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Author : Atefeh Farzindar
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2017-12-15

Natural Language Processing For Social Media written by Atefeh Farzindar and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-12-15 with Computers categories.


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.



Building Smarter Data Systems Leveraging Generative Ai And Deep Learning


Building Smarter Data Systems Leveraging Generative Ai And Deep Learning
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Author : Arun Kumar Ramachandran Sumangala Devi
language : en
Publisher: JEC PUBLICATION
Release Date :

Building Smarter Data Systems Leveraging Generative Ai And Deep Learning written by Arun Kumar Ramachandran Sumangala Devi and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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Natural Language Processing And Text Mining


Natural Language Processing And Text Mining
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Author : Anne Kao
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-03-06

Natural Language Processing And Text Mining written by Anne Kao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Computers categories.


The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA. We the editors or- nized the panel to promote discussion on how text mining and natural l- guageprocessing,tworelatedtopicsoriginatingfromverydi?erentdisciplines, can best interact with each other, and bene?t from each other’s strengths. It attracted a great deal of interest and was attended by 200 people from all over the world. We then guest-edited a special issue of ACM SIGKDD Exp- rations on the same topic, with a number of very interesting papers. At the same time, Springer believed this to be a topic of wide interest and expressed an interest in seeing a book published. After a year of work, we have put - gether 11 papers from international researchers on a range of techniques and applications. We hope this book includes papers readers do not normally ?nd in c- ference proceedings, which tend to focus more on theoretical or algorithmic breakthroughs but are often only tried on standard test data. We would like to provide readers with a wider range of applications, give some examples of the practical application of algorithms on real-world problems, as well as share a number of useful techniques.



Influence And Escalation


Influence And Escalation
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Author : Rebecca Hersman
language : en
Publisher: Bloomsbury Publishing PLC
Release Date : 2022-01-12

Influence And Escalation written by Rebecca Hersman and has been published by Bloomsbury Publishing PLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-12 with Political Science categories.


Technology-enabled influence operations, including disinformation, will likely figure prominently in adversary efforts to impede U.S. crisis response and alliance management in high-risk, high-impact scenarios under a nuclear shadow. Both Russia and China recognize their conventional military disadvantage vis-à-vis conflict with the United States. As a result, both nations use sub-conventional tactics and operations to support their preferred strategies for achieving favorable outcomes while attempting to limit escalation risks. Such strategies include an array of activities loosely identified as influence operations, focused on using and manipulating information in covert, deniable, or obscure ways to shape the strategic environment. This report presents eight scenarios—four focused on Russia and four focused on China—that invite potential escalation risks and demonstrate how the tools and tactics of influence operations could be employed to challenge detection, response, and crisis management. It explores a range of potential escalatory pathways and destabilizing consequences if adversary influence operations engage strategic interests and targets in high-risk scenarios and identifies key takeaways and recommendations for policymakers to better identify and defend against adversary influence operations.



Speech And Language Processing


Speech And Language Processing
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Author : Daniel Jurafsky
language : en
Publisher:
Release Date : 2000-01

Speech And Language Processing written by Daniel Jurafsky and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-01 with Automatic speech recognition categories.


This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.



Artificial Intelligence In Marketing


Artificial Intelligence In Marketing
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Author : K. Sudhir
language : en
Publisher: Emerald Group Publishing
Release Date : 2023-03-13

Artificial Intelligence In Marketing written by K. Sudhir and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-13 with Business & Economics categories.


Review of Marketing Research pushes the boundaries of marketing—broadening the marketing concept to make the world a better place. Here, leading scholars explore how marketing is currently shaping, and being shaped by, the evolution of Artificial Intelligence (AI).



Natural Language Processing In Artificial Intelligence


Natural Language Processing In Artificial Intelligence
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Author : Brojo Kishore Mishra
language : en
Publisher: Apple Academic Press
Release Date : 2022-06

Natural Language Processing In Artificial Intelligence written by Brojo Kishore Mishra and has been published by Apple Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06 with categories.


Natural Language Processing in Artificial Intelligence, focuses on natural language processing, artificial intelligence, and allied areas. The book delves into natural language processing, which enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world.