Dr Arjun Kuruva (41 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condition: new. Paperback. In today's digital world, emotions are conveyed not only through words but also through emojis that enrich and redefine human expression. Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis presents a groundbreaking approach to understanding sentiments by integrating textual and emoji-based data within advanced deep learning frameworks.This book introduces innovative hybrid architectures-ECSSO, EBERT, and HCGO-that combine the strengths of convolutional, recurrent, transformer, and graph-based neural networks. By fusing linguistic and visual-emotional cues, these models achieve remarkable accuracy in interpreting complex sentiments, sarcasm, and context-rich digital communication.Through comprehensive experiments and evaluations, the research demonstrates significant improvements over traditional text-only systems, highlighting the transformative role of emojis in emotion-aware artificial intelligence.Designed for researchers, scholars, and professionals in Natural Language Processing (NLP), Artificial Intelligence (AI), and Data Science, this book offers deep insights into multimodal sentiment analysis and the future of emotionally intelligent computing. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Paperback. Condition: new. Paperback. Dans le monde numerique actuel, les emotions s'expriment non seulement par les mots, mais aussi par les emojis, qui enrichissent et redefinissent l'expression humaine. L'ouvrage Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis presente une approche novatrice de la comprehension des sentiments, integrant donnees textuelles et emojis au sein de frameworks d'apprentissage profond avances. Ce livre introduit des architectures hybrides innovantes - ECSSO, EBERT et HCGO - qui combinent les atouts des reseaux de neurones convolutifs, recurrents, transformeurs et bases sur les graphes. En fusionnant les indices linguistiques et visuels-emotionnels, ces modeles atteignent une precision remarquable dans l'interpretation des sentiments complexes, du sarcasme et des communications numeriques riches en contexte. Grace a des experiences et des evaluations exhaustives, la recherche demontre des ameliorations significatives par rapport aux systemes textuels traditionnels, soulignant le role transformateur des emojis dans l'intelligence artificielle sensible aux emotions. Destine aux chercheurs, universitaires et professionnels du traitement automatique du langage naturel (TALN), de l'intelligence artificielle (IA) et des sciences des donnees, cet ouvrage offre une analyse approfondie de l'analyse multimodale des sentiments et de l'avenir de l'informatique emotionnellement intelligente. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Paperback. Condition: new. Paperback. W dzisiejszym cyfrowym swiecie emocje sa przekazywane nie tylko za pomoca slow, ale takze emoji, ktore wzbogacaja i na nowo definiuja ludzka ekspresje. Ksiazka "Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis" prezentuje przelomowe podejscie do rozumienia sentymentow poprzez integracje danych tekstowych i emoji w ramach zaawansowanych frameworkow glebokiego uczenia. Niniejsza ksiazka przedstawia innowacyjne architektury hybrydowe - ECSSO, EBERT i HCGO - ktore lacza zalety sieci neuronowych splotowych, rekurencyjnych, transformatorowych i grafowych. Laczac wskazowki jezykowe i wizualno-emocjonalne, modele te osiagaja niezwykla dokladnosc w interpretacji zlozonych sentymentow, sarkazmu i bogatej w kontekst komunikacji cyfrowej. Dzieki kompleksowym eksperymentom i ewaluacjom badania wykazuja znaczace udoskonalenia w porownaniu z tradycyjnymi systemami opartymi wylacznie na tekscie, podkreslajac transformacyjna role emotikonow w sztucznej inteligencji uwzgledniajacej emocje. Ksiazka ta, przeznaczona dla badaczy, naukowcow i profesjonalistow z zakresu przetwarzania jezyka naturalnego (NLP), sztucznej inteligencji (AI) i nauki o danych, oferuje doglebny wglad w multimodalna analize sentymentow i przyszlosc obliczen opartych na inteligencji emocjonalnej. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. In der heutigen digitalen Welt werden Emotionen nicht nur durch Worte, sondern auch durch Emojis vermittelt, die den menschlichen Ausdruck bereichern und neu definieren. "Hybride Deep-Learning-Modelle fuer die Stimmungsanalyse mit Text und Emojis" praesentiert einen bahnbrechenden Ansatz zum Verstaendnis von Stimmungen durch die Integration text- und emojibasierter Daten in fortschrittliche Deep-Learning-Frameworks. Dieses Buch stellt innovative Hybridarchitekturen vor - ECSSO, EBERT und HCGO -, die die Staerken von Faltungs-, rekurrenten, transformatorischen und graphenbasierten neuronalen Netzen vereinen. Durch die Kombination linguistischer und visuell-emotionaler Signale erreichen diese Modelle eine bemerkenswerte Genauigkeit bei der Interpretation komplexer Stimmungen, Sarkasmus und kontextreicher digitaler Kommunikation. Umfassende Experimente und Evaluierungen belegen signifikante Verbesserungen gegenueber herkoemmlichen, rein textbasierten Systemen und unterstreichen die transformative Rolle von Emojis in der emotionssensitiven kuenstlichen Intelligenz. Dieses Buch richtet sich an Forscher, Wissenschaftler und Fachleute aus den Bereichen Verarbeitung natuerlicher Sprache (NLP), Kuenstliche Intelligenz (KI) und Data Science und bietet tiefe Einblicke in die multimodale Stimmungsanalyse und die Zukunft des emotional intelligenten Computings. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. Nel mondo digitale odierno, le emozioni vengono trasmesse non solo attraverso le parole, ma anche attraverso emoji che arricchiscono e ridefiniscono l'espressione umana. "Hybrid Deep Learning Models for Sentiment Analysis using Text and Emojis" presenta un approccio innovativo alla comprensione dei sentimenti, integrando dati testuali ed emoji all'interno di framework avanzati di deep learning. Questo libro introduce architetture ibride innovative - ECSSO, EBERT e HCGO - che combinano i punti di forza delle reti neurali convoluzionali, ricorrenti, basate su trasformatori e basate su grafici. Fondendo indizi linguistici e visivo-emozionali, questi modelli raggiungono una notevole accuratezza nell'interpretazione di sentimenti complessi, sarcasmo e comunicazione digitale ricca di contesto. Attraverso esperimenti e valutazioni approfondite, la ricerca dimostra miglioramenti significativi rispetto ai tradizionali sistemi basati solo su testo, evidenziando il ruolo trasformativo degli emoji nell'intelligenza artificiale basata sulle emozioni. Progettato per ricercatori, studiosi e professionisti dell'elaborazione del linguaggio naturale (NLP), dell'intelligenza artificiale (IA) e della scienza dei dati, questo libro offre approfondimenti sull'analisi multimodale del sentiment e sul futuro dell'informatica basata sull'intelligenza emotiva. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Condition: new. Paperback. No mundo digital atual, as emocoes sao transmitidas nao so atraves de palavras, mas tambem por emojis que enriquecem e redefinem a expressao humana. O livro "Modelos Hibridos de Aprendizagem Profunda para Analise de Sentimentos utilizando Texto e Emojis" apresenta uma abordagem inovadora para a compreensao de sentimentos, integrando dados textuais e baseados em emojis em estruturas avancadas de aprendizagem profunda. Este livro introduz arquiteturas hibridas inovadoras - ECSSO, EBERT e HCGO - que combinam os pontos fortes das redes neuronais convolucionais, recorrentes, transformadoras e baseadas em grafos. Ao fundir pistas linguisticas e visuais-emocionais, estes modelos conseguem uma precisao notavel na interpretacao de sentimentos complexos, sarcasmo e comunicacao digital rica em contexto. Atraves de experiencias e avaliacoes abrangentes, a investigacao demonstra melhorias significativas em relacao aos sistemas tradicionais baseados apenas em texto, destacando o papel transformador dos emojis na inteligencia artificial sensivel as emocoes. Destinado a investigadores, academicos e profissionais de Processamento de Linguagem Natural (PLN), Inteligencia Artificial (IA) e Ciencia de Dados, este livro oferece insights profundos sobre a analise de sentimentos multimodal e o futuro da computacao emocionalmente inteligente. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

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