This book provides a comprehensive overview of the principles and applications of immunotherapy and radiotherapy in the treatment of cancer. It covers the basic concepts of immunotherapy, immunology, radiation physics, radiobiology, and tumor biology, as well as their clinical aspects, such as patient selection, treatment planning, delivery techniques, toxicity management, outcome evaluation, and neoadjuvant approaches. The book also discusses the current challenges and future directions i...

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...

Sustainable Crop Productivity and Quality under Climate Change: Responses of Crop Plants to Climate Change explores the physiological, biochemical, and molecular basis of the responses of major crop plants to a range of climate change scenarios. From the development of climate-resilient crop varieties which lead to enhanced crop productivity and quality to better utilization of natural resources to ensure food security through modern breeding techniques, it presents insights into improving...

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...

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,...

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...

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...

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...

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...

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...

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accurac...

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems.To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record ...