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This book discusses the financial impact of Artificial Intelligence (AI) on the finance... Læs mere
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In this book, the authors systematically and comprehensively discuss textual emotion classification by using deep broad learning.
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This book discusses how scientific and other types of cognition make use of models, abduction, and explanatory reasoning in order to produce important, innovative, and possibly creative changes in theories and concepts.
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This handbook explores quantitative linguistics, pedagogy, and Mandarin language acquisition in an integrated fashion and helps readers grasp how insights from quantitative linguistics can shed light on Mandarin language acquisition.
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This book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing the importance of ESL/EFL vocabulary and corpus studies.
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This edited volume explores how digital humanities can address critical societal challenges in social media, health, education, archives, heritage, and the arts.
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This book teaches readers to integrate data analysis techniques into humanities research practices using the R programming... Læs mere
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This Element addresses the challenges and opportunities that arise in the study of sound systems of understudied languages within the context of language... Læs mere
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Applying novel research techniques to the largest digitized database of literature on acting in the world, this book and its companion volume, Training Actors, explores and explains the complex and competing ideas about acting.
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Takes a fresh perspective on surveillance, examining how it is defined, discussed, and negotiated in different domains of public discourse
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Corpus linguistics uses large electronic databases of language to examine hypotheses about language use. This book presents a comprehensive survey of the ways in which... Læs mere