Download Free Text Mining And Sentiment Analysis In Climate Change And Environmental Sustainability Book in PDF and EPUB Free Download. You can read online Text Mining And Sentiment Analysis In Climate Change And Environmental Sustainability and write the review.

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.
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.
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.
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.
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.
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.
Quality of Life and Climate Change: Impacts, Sustainable Adaptation, and Social-Ecological Resilience delves into the pressing concerns surrounding climate change and its profound impacts on the quality of life (QoL) experienced by individuals and communities worldwide. This book explores the intricate relationship between climate change, variability, and QoL in both rural and urban settings. It undertakes a detailed review of QoL assessments to examine the extent to which climatic changes and livability conditions are incorporated into existing evaluations. By shedding light on the critical need to consider climatic factors in measuring and comparing QoL, especially in the context of creating aging-friendly and climate-neutral cities, this publication addresses a significant research gap. This book presents prospective themes, including sustainable solutions, mitigation strategies, and models to enhance socio-ecological resilience. The chapters within the book cover a wide range of topics including climatic variations and future projections, technological advancements in climate change mitigation, implications for residential and non-residential areas, industrial solutions, SDG attainment, mitigation strategies, QoL measurement instruments, and urban QoL models. By addressing these themes, the book provides a comprehensive analysis of the complex interactions between climate change, QoL, and the pursuit of sustainable development. This book serves as a valuable resource for researchers, academicians, policymakers, civil society groups, think tanks, government and non-government organizations, international agencies, and other interested parties seeking to deepen their knowledge and capacity in the field of climate change and its impacts on QoL and Sustainable Development Goals (SDGs) attainment.
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
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.