Sentiment analysis is the computational study of people's opinions, sentiments, emotions, and attitudes. This fascinating problem is increasingly important in business and society. It offers numerous research challenges but promises insight useful to anyone interested in opinion analysis and social media analysis. This book gives a comprehensive introduction to the topic from a primarily natural-language-processing point of view to help readers understand the underlying structure of the pr...

Sentiment analysis is the computational study of people's opinions, sentiments, emotions, moods, and attitudes. This fascinating problem offers numerous research challenges, but promises insight useful to anyone interested in opinion analysis and social media analysis. This comprehensive introduction to the topic takes a natural-language-processing point of view to help readers understand the underlying structure of the problem and the language constructs commonly used to express opinions,...

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 imp...

Convergent Journalism is an online news system that uses a range of media and methods to collect and present information. With the advent and growth of the Internet, this form of news has been flourishing globally and has become the mainstream in China. In 2014, the Chinese Government established media convergence as a national strategy.This book offers a panoramic view of the theories and practice of Convergent Journalism in a Chinese media landscape. Drawing on a plethora of case...

Todas as questões humanas do conhecimento colocadas de forma honesta e sincera, constituem esforços para compreender a Natureza, nela se incluindo todos os seus objectos de estudo formados por sistemas humanos e sistemas não humanos. Assim, de um modo geral, todas estas questões pertencem ao domínio da ciência. Os métodos e as ferramentas utilizadas podem ser diferentes, consoante se trate de um especialista da área das ciências humanas e sociais ou um especialista da área das ciências nat...

Whilst crop models have made significant progress in recent years, different models still diverge and struggle to predict the complex effects of genetic, environmental and management (G x E x M) variables in optimising crop production in the face of climate change.Current crop models: State-of-the-art and future developments provides a comprehensive overview of the major crop models and the ways they address these challenges. The book explores the development of major crop...

Climate change is a key threat to agriculture. Modelling is fundamental to assessing its potential impacts. This collection summarises the wealth of research on improving climate impact models and their use in assessing impacts on different regions.Modelling climate change impacts on agricultural systems reviews research on developing models in areas such as improving data flows, incorporating genetic information and dealing with uncertainty. This collecti...

The aim of Sentiment Analysis is to define automatic tools able to extract subjective information from texts in natural language, such as opinions and sentiments, in order to create structured and actionable knowledge to be used by either a decision support system or a decision maker. Sentiment analysis has gained even more value with the advent and growth of social networking. Sentiment Analysis in Social Networks begins with an overview of the latest research trends in the field. It then...

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine learning paradigm that continuously learns by accumulating past knowledge that it then uses in future learning and problem solving. In contrast, the current dominant machine learning paradigm learns in isolation: given a training dataset, it runs a machine learning algorithm on the dataset to produce a model that is then used in its intended application. It makes no attempt to retain the learned kn...

This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability to learn continually by themselves through their own self-initiated interactions with their users and the working environments. The authors present the latest developments and techniques for building such continual learning dialogue systems. The book explains how these developments allow systems to continuously learn new language expressions, lexical and fact...

This book provides interpretation of China’s logistics development in a new development paradigm and the rural logistics construction under the Rural Revitalization Strategy. Subjects covered in this book encompass the macro-factors pertaining to the overall development in logistics technologies and facilities, region-specific policies and plans, industry-wide transformation in transport, manufacturing, commerce and agriculture. Specifically, this book highlights the impact of COVID-19 on ...

Computer Vision and AI in Structural Health Monitoring and Structural Engineering explores cutting-edge approaches to SHM, integrating advancements in computer vision, artificial intelligence (AI), and multimodal technologies to revolutionize how infrastructure is monitored, maintained, and managed. Starting with the fundamentals of SHM and structural engineering, the book examines the transformative power of computer vision applications, such as crack detection, corrosion assessment, and ...