This book adopts a multi-method multimodal approach to the study of online political communication, applying it to case studies from the UK, France, and Italy toward offering a portrait of the rapid ideological shifts in contemporary Western democracies. The volume introduces an integrated framework combining Sentiment and Emotion Analysis, rooted in lexical semantics, and the qualitative dimensions of Appraisal Theory, applying it to large corpora of online political communication from the UK, France, and Italy. Combei and Reggi highlight their combined potential in analyzing the multimodal resources in such discourses and in turn, revealing fresh insights into layers of subtext and the ways in which parties and movements frame their political programmes and values. The authors also take into account culture- and language-specific variables across the three countries in shaping such discourses. The volume makes the case for an integrated methodological framework that can be uniquely applied to better understand the multimodal communicative landscape of divisiveness in today’s rapidly shifting political climate and other forms of online communication more broadly. This book will be of interest to students and scholars in digital communication, political communication, multimodality, and qualitative and quantitative discourse analysis, especially those interested in corpus-assisted approaches.

This collection responds to the need for theoretically informed and methodologically grounded empirical research on the global transformations in multimodal human communication and social practices in light of recent widespread change. The volume highlights the need to expand on the established approaches--Social Semiotics, Multimodal Discourse Analysis, and Multimodal (Inter)action Analysis--by complementing them with other analytical frameworks to better understand the impact of unprecedented global challenges, such as Covid-19, on the way humans communicate and make use of meaning-making resources. Bringing together established and emergent scholars from a variety of geographical, cultural, and linguistic contexts, the collection presents studies from both the Global North and Global South, including South Africa, Latin America, Brazil, and the Caribbean, to showcase new perspectives in multimodality research. This innovative book will be of interest to students and scholars in multimodality, social semiotics, and discourse analysis.

Early Modern Emotions is a student-friendly introduction to the concepts, approaches and sources used to study emotions in early modern Europe, and to the perspectives that analysis of the history of emotions can offer early modern studies more broadly. The volume is divided into four sections that guide students through the key processes and practices employed in current research on the history of emotions. The first explains how key terms and concepts in the study of emotions relate to early modern Europe, while the second focuses on the unique ways in which emotions were conceptualized at the time. The third section introduces a range of sources and methodologies that are used to analyse early modern emotions. The final section includes a wide-ranging selection of thematic topics covering war, religion, family, politics, art, music, literature and the non-human world to show how analysis of emotions may offer new perspectives on the early modern period more broadly. Each section offers bite-sized, accessible commentaries providing students new to the history of emotions with the tools to begin their own investigations. Each entry is supported by annotated further reading recommendations pointing students to the latest research in that area and at the end of the book is a general bibliography, which provides a comprehensive list of current scholarship. This book is the perfect starting point for any student wishing to study emotions in early modern Europe.

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, sentiments, and emotions. The book covers core areas of sentiment analysis and also includes related topics such as debate analysis, intention mining, and fake-opinion detection. It will be a valuable resource for researchers and practitioners in natural language processing, computer science, management sciences, and the social sciences. In addition to traditional computational methods, this second edition includes recent deep learning methods to analyze and summarize sentiments and opinions, and also new material on emotion and mood analysis techniques, emotion-enhanced dialogues, and multimodal emotion analysis.

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems.

This book constitutes the refereed proceedings of the 14th International Conference on Intelligent Human Computer Interaction, IHCI 2022, held in Tashkent, Uzbekistan, during October 20–22, 2022. The 47 full papers and 13 short papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: Bio-inspired Computing; Cognitive computing; Human Centered AI; Intelligent Technology for Post-Covid and Web Frameworks.