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Wiley-VCH - Civil Engineering & Construction
A Passion for Publishing
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Sentiment Analysis in NLP
From rule-based systems to deep learning, the author presents everything you need to know about sentiment analysis As sentiment analysis evolves from simple lexicon matching to sophisticated multimodal deep learning, practitioners need authoritative guidance spanning the field's entire trajectory. Sentiment Analysis in NLP delivers this breadth, covering text-based, aspect-based, multimodal, and implicit sentiment analysis, integrating text, audio, and visual data processing while addressing both theoretical foundations and real-world implementations. This book examines neural network architectures including CNNs and RNNs for text analysis, transformer models like BERT, and Graph Attention Networks. Dedicated chapters cover attention mechanisms and generative AI for synthetic data generation. Practical applications span product development, social media monitoring, and public health surveillance. Python code, datasets, and a solutions manual support hands-on learning. Readers will also find: * Multimodal sentiment analysis techniques integrating text, speech, and image data to interpret emotional content across diverse communication formats * Transformer-based models and attention mechanisms including BERT and GPT architectures that have transformed state-of-the-art sentiment classification performance * Real-time context-aware sentiment analysis systems designed for continuous monitoring applications in social media and business intelligence environments * Ethical considerations addressing data privacy, algorithmic bias, and transparency challenges that practitioners face when deploying sentiment analysis systems * Case studies demonstrating sentiment analysis applications across customer feedback analysis, public safety monitoring, and healthcare decision support contexts This reference serves NLP researchers, data scientists, and business intelligence professionals who implement sentiment analysis systems. Graduate students in machine learning and deep learning will find both theoretical depth and practical resources for coursework and research applications. [320 Pages, Hardcover]
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Taschenbuch für den Tunnelbau 2027
Das Taschenbuch für den Tunnelbau ist das Kompendium des Tunnelbaus. Als praxisnaher Ratgeber für Auftraggeber, Planer und Bauausführende greift es aktuelle Entwicklungen und Problemstellungen auf, zeigt innovative Lösungen und dokumentiert dabei den erreichten Stand der Technik. [XXII, 550 Pages, Hardcover]
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Regenerated Cellulose
[528 Pages, Hardcover]
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Life Cycle Driven Structures
A practical guide on assessing and reducing environmental impact across all building life cycle stages As sustainability becomes central to design and construction practices, professionals must go beyond intuition and embrace Life Cycle Analysis (LCA) to measure and minimize embodied carbon. Life Cycle Driven Structures is a much-needed bridge between theory and application for assessing environmental performance across the full span of a building's life. Integrating life cycle thinking directly into structural design decision-making, this timely book equips readers with the essential knowledge and tools to perform robust LCA to meet growing regulatory and market demands for environmentally conscious design. Alper Kanyilmaz, a leading expert in sustainable construction and LCA education, provides a structured, methodical approach supported by practical exercises and real-world case studies. The author addresses a critical knowledge gap in architecture, engineering, and construction (AEC) curricula and practice by demonstrating how LCA can inform material selection, structural systems, and construction methods. In-depth chapters cover steel, reinforced concrete, and mass timber structures--offering nuanced comparisons and clear guidance on using environmental product declarations (EPDs), carbon databases, and reduction strategies. Delivering a comprehensive, hands-on learning experience that directly supports the AEC sector's shift toward lower-carbon, more sustainable building practices, Life Cycle Driven Structures: * Covers the full building life cycle, including material sourcing, construction, operation, and end-of-life stages * Presents comparative LCA results for different structural systems and material choices * Features real-world case studies to illustrate the practical application of theory * Includes hands-on exercises to reinforce understanding and build applied skills * Discusses key tools, databases, and environmental product declarations (EPDs) used in LCA * Provides insights drawn from cutting-edge European research projects and teaching experience Aligned with ISO 14000 standards for environmental management, Life Cycle Driven Structures is ideal for upper-level undergraduate and graduate students in civil engineering, architecture, and construction management programs, and is also a valuable reference for AEC professionals pursuing sustainable practices in industry. [672 Pages, Hardcover]
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Green Maps
[608 Pages, Hardcover]
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