Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability PDF full book. Access full book title Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability by Bansal, Rohit. Download full books in PDF and EPUB format.
Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 510
Get Book Here
Book Description
With the rising need to address shifting global temperatures, precipitation patterns, and atmospheric conditions, text mining and sentiment analysis play a crucial role in managing climate change and promoting environmental sustainability. These techniques provide valuable insights to support decision-making, stakeholder engagement, risk management, policymaking, and corporate communication efforts to address the changing climate and respond to important crises. Further research into text mining and sentiment analysis is necessary to understand the public’s perception on climate change, address corporate concerns, and identify emerging risks associated with the environment. Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability provides updated information on the emergence and role of text mining and sentiment analysis in predicting climate change and promoting environmental sustainability. It covers emerging trends involved in the nexus of text mining, sentiment analysis, climate change and environmental sustainability. This book covers topics such as environmental science, sustainable development, and machine learning, and is a useful resource for climatologists, environmental scientists, computer engineers, data scientists, academicians, and researchers.
Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 510
Get Book Here
Book Description
With the rising need to address shifting global temperatures, precipitation patterns, and atmospheric conditions, text mining and sentiment analysis play a crucial role in managing climate change and promoting environmental sustainability. These techniques provide valuable insights to support decision-making, stakeholder engagement, risk management, policymaking, and corporate communication efforts to address the changing climate and respond to important crises. Further research into text mining and sentiment analysis is necessary to understand the public’s perception on climate change, address corporate concerns, and identify emerging risks associated with the environment. Text Mining and Sentiment Analysis in Climate Change and Environmental Sustainability provides updated information on the emergence and role of text mining and sentiment analysis in predicting climate change and promoting environmental sustainability. It covers emerging trends involved in the nexus of text mining, sentiment analysis, climate change and environmental sustainability. This book covers topics such as environmental science, sustainable development, and machine learning, and is a useful resource for climatologists, environmental scientists, computer engineers, data scientists, academicians, and researchers.
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
Get Book Here
Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 1461432235
Category : Computers
Languages : en
Pages : 527
Get Book Here
Book Description
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Author: Bing Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1608458849
Category : Computers
Languages : en
Pages : 185
Get Book Here
Book Description
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language. It is one of the most active research areas in natural language processing and is also widely studied in data mining, Web mining, and text mining. In fact, this research has spread outside of computer science to the management sciences and social sciences due to its importance to business and society as a whole. The growing importance of sentiment analysis coincides with the growth of social media such as reviews, forum discussions, blogs, micro-blogs, Twitter, and social networks. For the first time in human history, we now have a huge volume of opinionated data recorded in digital form for analysis. Sentiment analysis systems are being applied in almost every business and social domain because opinions are central to almost all human activities and are key influencers of our behaviors. Our beliefs and perceptions of reality, and the choices we make, are largely conditioned on how others see and evaluate the world. For this reason, when we need to make a decision we often seek out the opinions of others. This is true not only for individuals but also for organizations. This book is a comprehensive introductory and survey text. It covers all important topics and the latest developments in the field with over 400 references. It is suitable for students, researchers and practitioners who are interested in social media analysis in general and sentiment analysis in particular. Lecturers can readily use it in class for courses on natural language processing, social media analysis, text mining, and data mining. Lecture slides are also available online. Table of Contents: Preface / Sentiment Analysis: A Fascinating Problem / The Problem of Sentiment Analysis / Document Sentiment Classification / Sentence Subjectivity and Sentiment Classification / Aspect-Based Sentiment Analysis / Sentiment Lexicon Generation / Opinion Summarization / Analysis of Comparative Opinions / Opinion Search and Retrieval / Opinion Spam Detection / Quality of Reviews / Concluding Remarks / Bibliography / Author Biography
Author: Khaled Shaalan
Publisher: Springer
ISBN: 3319670565
Category : Technology & Engineering
Languages : en
Pages : 763
Get Book Here
Book Description
This book brings together scientists, researchers, practitioners, and students from academia and industry to present recent and ongoing research activities concerning the latest advances, techniques, and applications of natural language processing systems, and to promote the exchange of new ideas and lessons learned. Taken together, the chapters of this book provide a collection of high-quality research works that address broad challenges in both theoretical and applied aspects of intelligent natural language processing. The book presents the state-of-the-art in research on natural language processing, computational linguistics, applied Arabic linguistics and related areas. New trends in natural language processing systems are rapidly emerging – and finding application in various domains including education, travel and tourism, and healthcare, among others. Many issues encountered during the development of these applications can be resolved by incorporating language technology solutions. The topics covered by the book include: Character and Speech Recognition; Morphological, Syntactic, and Semantic Processing; Information Extraction; Information Retrieval and Question Answering; Text Classification and Text Mining; Text Summarization; Sentiment Analysis; Machine Translation Building and Evaluating Linguistic Resources; and Intelligent Language Tutoring Systems.
Author: Julia Silge
Publisher: "O'Reilly Media, Inc."
ISBN: 1491981628
Category : Computers
Languages : en
Pages : 193
Get Book Here
Book Description
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.
Author: Taewoo Roh
Publisher: Frontiers Media SA
ISBN: 283250728X
Category : Science
Languages : en
Pages : 258
Get Book Here
Book Description
Author: Felix Ekardt
Publisher: Springer
ISBN: 3030192776
Category : Science
Languages : en
Pages : 324
Get Book Here
Book Description
This book proposes a holistic transdisciplinary approach to sustainability as a subject of social sciences. At the same time, this approach shows new ways, as perspectives of philosophy, political science, law, economics, sociology, cultural studies and others are here no longer regarded separately. Instead, integrated perspectives on the key issues are carved out: Perspectives on conditions of transformation to sustainability, on key instruments and the normative questions. This allows for a concise answer to urgent and controversial questions such as the following: Is the EU an environmental pioneer? Is it possible to achieve sustainability by purely technical means? If not: will that mean to end of the growth society? How to deal with the follow-up problems? How will societal change be successful? Are political power and capitalism the main barriers to sustainability? What is the role of emotions and conceptions of normality in the transformation process? To which degree are rebound and shifting effects the reason why sustainability politics fail? How much climate protection can be claimed ethically and legally e.g. on grounds of human rights? And what is freedom? Despite all rhetoric, the weak transition in energy, climate, agriculture and conservation serves as key example in this book. It is shown how the Paris Agreement is weak with regard to details and at the same time overrules the growth society by means of a radical 1,5-1,8 degrees temperature limit. It is shown how emissions trading must – and can – be reformed radically. It is shown why CSR, education, cooperation and happiness research are overrated. And we will see what an integrated politics on climate, biodiversity, nitrogen and soil might look like. This book deals with conditions of transformation, governance instruments, ethics and law of sustainability. The relevance of the humanities to sustainability has never before been demonstrated so vividly and broadly as here. And in every area it opens up some completely new perspectives. (Prof. Dr. Dr. h.c. mult. Ernst Ulrich von Weizsäcker, Club of Rome, Honorary President) Taking a transdisciplinary perspective, the book canvasses the entire spectrum of issues relevant to sustainability. A most valuable and timely contribution to the debate. (Prof. Dr. Klaus Bosselmann, University of Auckland, Author of “The Principle of Sustainability”) This books breathes life into the concept of sustainability. Felix Ekardt tears down the barriers between disciplines and builds a holistic fundament for sustainablility; fit to guide long-term decision-making on the necessary transformation and societal change. (Prof. Dr. Christina Voigt, Oslo University, Dept. of Public and International Law)
Author: Leonardo Martinez-Diaz
Publisher: U.S. Commodity Futures Trading Commission
ISBN: 057874841X
Category : Science
Languages : en
Pages : 196
Get Book Here
Book Description
This publication serves as a roadmap for exploring and managing climate risk in the U.S. financial system. It is the first major climate publication by a U.S. financial regulator. The central message is that U.S. financial regulators must recognize that climate change poses serious emerging risks to the U.S. financial system, and they should move urgently and decisively to measure, understand, and address these risks. Achieving this goal calls for strengthening regulators’ capabilities, expertise, and data and tools to better monitor, analyze, and quantify climate risks. It calls for working closely with the private sector to ensure that financial institutions and market participants do the same. And it calls for policy and regulatory choices that are flexible, open-ended, and adaptable to new information about climate change and its risks, based on close and iterative dialogue with the private sector. At the same time, the financial community should not simply be reactive—it should provide solutions. Regulators should recognize that the financial system can itself be a catalyst for investments that accelerate economic resilience and the transition to a net-zero emissions economy. Financial innovations, in the form of new financial products, services, and technologies, can help the U.S. economy better manage climate risk and help channel more capital into technologies essential for the transition. https://doi.org/10.5281/zenodo.5247742
Author: Ines Mergel
Publisher: John Wiley & Sons
ISBN: 1118109945
Category : Business & Economics
Languages : en
Pages : 324
Get Book Here
Book Description
Grounded in solid research, Social Media in the Public Sector explores the myriad uses of social media in the public sector and combines existing practices with theories of public administration, networked governance, and information management. Comprehensive in scope, the book includes best practices, the strategic, managerial, administrative, and procedural aspects of using social media, and explains the theoretical dimensions of how social behavior affects the adoption of social media technologies. Praise for Social Media in the Public Sector "Mergel has produced a foundational work that combines the best kind of scholarship with shoe-leather reporting and anthropology that highlights the debates that government agencies are struggling to resolve and the fruits of their efforts as they embrace the social media revolution. Social Media in the Public Sector is a first and sets a high standard against which subsequent analysis will be measured." —Lee Rainie, director, Pew Research Center's Internet & American Life Project "Mergel is an award-winning author who again wields her story skills in this book. She excels in explaining in concrete, practical terms how government managers can use social media to serve the public. Her book puts years of research into one handy guide. It's practical. It's readable. And it's an essential read." —John M. Kamensky, senior fellow, IBM Center for The Business of Government "Mergel moves beyond the hype with detailed, comprehensive research on social media technologies, use, management, and policies in government. This book should be required reading for researchers and public managers alike." —Jane Fountain, professor and director, National Center for Digital Government, University of Massachusetts Amherst "Comprehensive and compelling, Social Media in the Public Sector makes the case that to achieve Government 2.0, agencies must first adopt Web 2.0 social technologies. Mergel explains both how and why in this contemporary study of traditional institutions adopting and adapting to new technologies." —Beth Simone Noveck, United States Deputy Chief Technology Officer (2009-2011)
