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This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years.
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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 focuses on Entity Discovery and Linking (EDL), which is the problem of identifying concepts and entities, disambiguating them, and grounding them to one or more... Læs mere
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This edited book brings together research investigating foundational issues relating to the generation and restriction of alternative sets from theoretical and empirical perspectives.
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This is where the principle of “Informed Machine Learning” comes into play.Informed Machine Learning combines purely data driven learning and knowledge-based techniques to learn from both data and knowledge.
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This book emphasises the need for language resource development and its impact on society. It... Læs mere
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This updated book introduces a new process-oriented approach towards speech quality assessment. Using multiple methods, this approach allows readers to investigate the influence of speech transmission quality on perceptual and cognitive processes in human listeners.
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margin: 4.5pt 0cm 5.0pt 0cm;">This book gathers outstanding research papers presented at the 8th International Joint Conference on Advances in Computational Intelligence (IJCACI 2024), held in hybrid mode at South Asian University, New Delhi, India, during October 5–6, 2024.
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This book is a collection of outstanding research papers presented at the World Conference on Artificial... Læs mere