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Author: Bansal, Rohit
Publisher: IGI Global
ISBN:
Category : Computers
Languages : en
Pages : 510
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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
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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
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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: Taewoo Roh
Publisher: Frontiers Media SA
ISBN: 283250728X
Category : Science
Languages : en
Pages : 258
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Book Description
Author: Simon Grima
Publisher: Elsevier
ISBN: 0443236046
Category : Science
Languages : en
Pages : 298
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Book Description
Greening Our Economy for a Sustainable Future examines the green economy by balancing social needs, the environment, and the economy. It argues that different economic models must be developed to address the environment caused by economic expansion. The book not only looks at the opportunities of having a green economy, but also goes into areas such as greenwashing, social washing, sustainability, economics, and more. In addition, it addresses how one can improve well-being through a symbiotic relationship between economic growth and environmental stewardship. - Reviews literature and case studies that can be applied on a large-scale on measures to change the way of economic development to implement a green economy theory - Examines bottlenecks that occur when resource scarcity or poor quality makes investment more expensive - Highlights opportunities for innovation spurred by policies and framework conditions that allow for new ways of addressing environmental problems
Author: Vanessa Ratten
Publisher: Springer Nature
ISBN: 3030262456
Category : Business & Economics
Languages : en
Pages : 144
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Book Description
Although there have been considerable technological advances over the past decade, particularly in terms of mobile applications, much remains unknown about their effect on societal progress. This book focuses on how inequality and entrepreneurship are both by-products of technological change. The book provides insights into how society has shifted from consumer division to human centricity, and helps readers gain a better understanding of the positive and negative effects of entrepreneurship.
Author: Cristina Maxim
Publisher: Edward Elgar Publishing
ISBN: 1803926740
Category : Business & Economics
Languages : en
Pages : 643
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Book Description
In this multidisciplinary and multi-jurisdictional account of sustainability in urban tourist destinations, the Handbook on Sustainable Urban Tourism draws together the latest academic research and provides key practical insights on this developing area of study. It not only considers the importance of cities as ideal tourist destinations due to their complex characteristics and the variety of attractions they offer, but also the challenges they are confronted with, most notably sustainability.
Author: Tetsuji Ito
Publisher: Springer Nature
ISBN: 3030812073
Category : Science
Languages : en
Pages : 172
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Book Description
This Open Access book’s main focus is agriculture and natural resource management, disaster risk reduction, and human resource development in the countries of East and Southeast Asia and Japan. Asia is one of the regions which is the most vulnerable to the impacts of climate change. More than sixty percent of the world’s people live in the region, making it the growth center of the world. Asia is vast and includes various countries and regions, this book is focused on East and Southeast Asia including Japan. It is essential to share the knowledge and experiences for adapting climate change among these areas. In order to tackle these issues, the book aims to: Promote inter-local lessons learnt sharing climate change adaptations; "agriculture and natural resource management" and "disaster risk reduction and human resource development" Provides insights into new adaptation measures and research approaches that can consider the regional nature of Southeast Asia Share practical adaptation options permeated by society in each country/region This book will be of interest to researchers and students examining climate change impacts in East and Southeast Asia.
Author: Singh, Kuldeep
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 378
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Book Description
The fintech industry has transformed the way individuals handle their finances, conduct transactions, and access financial services over the past decade. With increased efficiency and cost-effectiveness, fintech has emerged as one of the most profitable industries globally. However, the growth of fintech also presents an opportunity to promote sustainability and social responsibility in the financial sector. Fintech can contribute to financial inclusion, reduce economic disparities, and advance sustainable development goals through the integration of technology. The Sustainable Fintech Revolution: Building a Greener Future for Finance explores how fintech can be used to promote sustainability in the financial industry. This book provides a comprehensive overview of the fintech ecosystem and its potential for advancing sustainability goals, including case studies of companies that have integrated sustainability into their business models. It also offers insights and recommendations for policymakers, regulators, financial institutions, and fintech companies on how they can promote sustainability in the financial industry. This book is ideal for academics and researchers in finance, technology, sustainability, and development studies, as well as practitioners in the fintech industry, policymakers and regulators, and non-governmental organizations (NGOs) working on sustainable finance and development issues.
Author: Bing Liu
Publisher: Morgan & Claypool Publishers
ISBN: 1608458849
Category : Computers
Languages : en
Pages : 185
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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
