xiangming samuel (48 resultados)

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Taschenbuch. Condición: Neu. Online Platform Market Reputation Systems | Text Analytics and Machine Learning Approaches to Online Reputation | Xiangming Samuel Li | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9786138954545 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Plate-forme en ligne Systèmes de réputation du marché | Approches de l'analyse de texte et de l'apprentissage automatique pour la réputation en ligne | Xiangming Samuel Li | Taschenbuch | Französisch | 2021 | Editions Notre Savoir | EAN 9786203802030 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: New.

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. Rynok onlajn-platform Reputacionnye sistemy | Textowaq analitika i podhody mashinnogo obucheniq k onlajn-reputacii | Xiangming Samuel Li | Taschenbuch | Russisch | 2021 | Sciencia Scripts | EAN 9786203802092 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. Piattaforma online Sistemi di reputazione del mercato | Text Analytics e approcci di apprendimento automatico per la reputazione online | Xiangming Samuel Li | Taschenbuch | Italienisch | 2021 | Edizioni Sapienza | EAN 9786203802054 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. Sistemas de Reputação do Mercado de Plataformas Online | Análise de Texto e Abordagens de Aprendizagem de Máquina para Reputação Online | Xiangming Samuel Li | Taschenbuch | Portugiesisch | 2021 | Edições Nosso Conhecimento | EAN 9786203802061 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. Online-Plattform Marktreputationssysteme | Textanalyse und maschinelle Lernansätze für die Online-Reputation | Xiangming Samuel Li | Taschenbuch | 76 S. | Deutsch | 2021 | Verlag Unser Wissen | EAN 9786203802009 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Condición: new. Questo è un articolo print on demand.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -V dannom issledowanii izuchaetsq wzaimoswqz' mezhdu ocenkoj textowogo otzywa, dlinoj otzywa, powedeniem agenta i primeneniem transfertnogo obucheniq putem postroeniq kolichestwennoj mery na osnowe textowyh otzywow w Internete na Airbnb. Perwyj ocherk poswqschen izucheniü wliqniq dliny otzywa na ocenku textowogo otzywa. On stroit chislowye ocenki textowyh otzywow, primenqq metody textowogo analiza i mashinnogo obucheniq k bolee chem trem millionam textowyh otzywow, sozdannyh pol'zowatelqmi na Airbnb. Na osnowe poluchennyh ocenok textowyh otzywow w dannom ässe analiziruetsq wliqnie dliny otzywa na ocenku textowogo otzywa i wyqsnqetsq wzaimoswqz' mezhdu ocenkoj textowogo otzywa, dlinoj otzywa, wozrastom otzywa i aktiwnym recenzentom. Obnaruzhena perewernutaq U-obraznaq zawisimost' mezhdu dlinoj recenzii i ocenkami textowyh recenzij i dolgosrochnaq tendenciq k snizheniü dliny textowoj recenzii na wseh onlajn-platformah. Dannoe issledowanie wnosit wklad w oblast' onlajn-reputacii, sozdawaq innowacionnuü meru reputacii textowyh otzywow i bol'shoj korpus markirowannyh otzywow (naprimer, bazu znanij otzywow Airbnb), issleduq wliqnie dliny otzywa na ocenki textowyh otzywow i wyqwlqq dolgosrochnuü tendenciü dliny otzywa na onlajn-platformah. Vo wtorom ässe rassmatriwaütsq 76 pp. Russisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This research investigates the relationship among text review score, review length, agent behavior, and transfer-learning applications by constructing a quantitative measure with Airbnb online text reviews. The first essay focuses on studying the effects of review length on text review score. It constructs numerical text review scores by applying text analytics and machine learning techniques to more than three million user-generated text reviews on Airbnb. With the text review scores, this essay analyzes the impact of review length on text review scores and obtains insights on interplay relationship among text review score, review length, review age, and active reviewer. It finds an inverted U-shaped relation between review length and text review scores and a long-term downward trend of text review length cross all online platforms. This research contributes to online reputation field by building an innovative text review reputation measure and a large online labelled review corpus (i.e., Airbnb review knowledge base), investigating effects of review length on text review scores, and revealing a long-term trend of the online platform review length. 60 pp. Englisch.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Esta investigación estudia la relación entre la puntuación de las reseñas de texto, la longitud de las reseñas, el comportamiento de los agentes y las aplicaciones de aprendizaje por transferencia mediante la construcción de una medida cuantitativa con las reseñas de texto en línea de Airbnb. El primer ensayo se centra en el estudio de los efectos de la longitud de la reseña en la puntuación de la reseña de texto. Construye puntuaciones numéricas de reseñas de texto aplicando técnicas de análisis de texto y aprendizaje automático a más de tres millones de reseñas de texto generadas por usuarios en Airbnb. Con las puntuaciones de las reseñas de texto, este ensayo analiza el impacto de la longitud de la reseña en las puntuaciones de las reseñas de texto y obtiene conocimientos sobre la relación de interacción entre la puntuación de la reseña de texto, la longitud de la reseña, la edad de la reseña y el reseñador activo. Se encuentra una relación en forma de U invertida entre la longitud de la reseña y las puntuaciones de las reseñas de texto y una tendencia a la baja a largo plazo de la longitud de la reseña de texto en todas las plataformas online. Esta investigación contribuye al campo de la reputación en línea mediante la construcción de una innovadora medida de reputación de las reseñas de texto y un gran corpus de reseñas etiquetadas en línea (es decir, la base de conocimientos de las reseñas de Airbnb), investigando los efectos de la longitud de las reseñas en las puntuaciones de las reseñas de texto, y revelando una tendencia a largo plazo de la longitud de las reseñas de las plataformas en línea. El segundo ensayo examina 76 pp. Spanisch.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Why do we need to live in a smart city Rapid urbanization causes compelling city problems worldwide, such as housing, traffic, schooling, healthcare, employment, and pollution. Numerous smart-city scholars and practitioners have attempted to tackle these problems but lack an integrated approach and practical implementation tools to solve them. This book explains how to build digital twin metaverse cities aimed to accelerate urban digital transformation through emerging technologies.You'll start by identifying a problem statement, designing a novel digital twin metaverse architecture, reviewing emerging technologies as building blocks and showcasing interesting applications. You'll then review state-of-the-art digital twin metaverse development tools and present readers with interesting engineering prototypes of my proposed digital twin smart cities. Finally, you'll discover how to avoid some management pitfalls during the construction of innovative smart cities, including project management, change management, leadership skills, and modern management information systems.With Building Digital Twin Metaverse Cities you'll work with a novel architectural design and use the latest technologies as building blocks to construct smart cities of your own.What You'll LearnExplore complex issues arising from rapid urbanization.Discover how emerging technologies like 5G, IoT, and AI can solve urban problems.Master the digital twinning process powered by the Data Analytics Flywheel.Explore core and enabling technologies shaping Digital Twin Metaverse Cities.Gain hands-on experience with development tools and prototypes for smart city applications.Who This Book Is ForProfessionals who want to learn emerging technologies and digital twin metaverse development tools to construct innovative smart cities to solve the current pressing urbanization problems. General readers like city residents and government officials worldwide, who are suffering from the growing pains of rapid urbanization and looking for effective smart city solutions using new technologies and methodology. Smart city researchers and college students wanting to build smart projects for urban digital transformation and smart Xs (everything). 499 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Li Xiangming SamuelDr. Xiangming Samuel Li is a business professor at University Canada West and a PhD candidate in Management Sciences, University of Waterloo, Canada. He has received over 23 years of intensive management experience.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This research investigates the relationship among text review score, review length, agent behavior, and transfer-learning applications by constructing a quantitative measure with Airbnb online text reviews. The first essay focuses on studying the effects of review length on text review score. It constructs numerical text review scores by applying text analytics and machine learning techniques to more than three million user-generated text reviews on Airbnb. With the text review scores, this essay analyzes the impact of review length on text review scores and obtains insights on interplay relationship among text review score, review length, review age, and active reviewer. It finds an inverted U-shaped relation between review length and text review scores and a long-term downward trend of text review length cross all online platforms. This research contributes to online reputation field by building an innovative text review reputation measure and a large online labelled review corpus (i.e., Airbnb review knowledge base), investigating effects of review length on text review scores, and revealing a long-term trend of the online platform review length.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research investigates the relationship among text review score, review length, agent behavior, and transfer-learning applications by constructing a quantitative measure with Airbnb online text reviews. The first essay focuses on studying the effects of review length on text review score. It constructs numerical text review scores by applying text analytics and machine learning techniques to more than three million user-generated text reviews on Airbnb. With the text review scores, this essay analyzes the impact of review length on text review scores and obtains insights on interplay relationship among text review score, review length, review age, and active reviewer. It finds an inverted U-shaped relation between review length and text review scores and a long-term downward trend of text review length cross all online platforms. This research contributes to online reputation field by building an innovative text review reputation measure and a large online labelled review corpus (i.e., Airbnb review knowledge base), investigating effects of review length on text review scores, and revealing a long-term trend of the online platform review length.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Cette recherche étudie la relation entre le score des critiques de texte, la longueur des critiques, le comportement des agents et les applications de transfert-apprentissage en construisant une mesure quantitative avec les critiques de texte en ligne Airbnb. Le premier essai se concentre sur l'étude des effets de la longueur de la critique sur le score de la critique textuelle. Il construit des scores numériques d'avis textuels en appliquant des techniques d'analyse de texte et d'apprentissage automatique à plus de trois millions d'avis textuels générés par les utilisateurs sur Airbnb. À l'aide de ces scores, cet essai analyse l'impact de la longueur de l'avis sur les scores des avis textuels et obtient un aperçu de la relation d'interaction entre le score des avis textuels, la longueur de l'avis, l'âge de l'avis et l'examinateur actif. Il constate une relation en forme de U inversé entre la longueur des critiques et les notes des critiques textuelles et une tendance à la baisse à long terme de la longueur des critiques textuelles sur toutes les plateformes en ligne. Cette recherche contribue au domaine de la réputation en ligne en construisant une mesure innovante de la réputation des critiques textuelles et un grand corpus de critiques étiquetées en ligne (c'est-à-dire la base de connaissances des critiques d'Airbnb), en étudiant les effets de la longueur des critiques sur les scores des critiques textuelles et en révélant une tendance à long terme de la longueur des critiques sur les plateformes en ligne. Le deuxième essai examineCette recherche étudie la relation entre le score des critiques de texte, la longueur des critiques, le comportement des agents et les applications de transfert-apprentissage en construisant une mesure quantitative avec les critiques de texte en ligne Airbnb. Le premier essai se concentre sur l'étude des effets de la longueur de la critique sur le score de la critique textuelle. Il construit des scores numériques d'avis textuels en appliquant des techniques d'analyse de texte et d'apprentissage automatique à plus de trois millions d'avis textuels générés par les utilisateurs sur Airbnb. À l'aide de ces scores, cet essai analyse l'impact de la longueur de l'avis sur les scores des avis textuels et obtient un aperçu de la relation d'interaction entre le score des avis textuels, la longueur de l'avis, l'âge de l'avis et l'examinateur actif. Il constate une relation en forme de U inversé entre la longueur des critiques et les notes des critiques textuelles et une tendance à la baisse à long terme de la longueur des critiques textuelles sur toutes les plateformes en ligne. Cette recherche contribue au domaine de la réputation en ligne en construisant une mesure innovante de la réputation des critiques textuelles et un grand corpus de critiques étiquetées en ligne (c'est-à-dire la base de connaissances des critiques d'Airbnb), en étudiant les effets de la longueur des critiques sur les scores des critiques textuelles et en révélant une tendance à long terme de la longueur des critiques sur les plateformes en ligne. Le deuxième essai examine 76 pp. Französisch.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Why do we need to live in a smart city Rapid urbanization causes compelling city problems worldwide, such as housing, traffic, schooling, healthcare, employment, and pollution. Numerous smart-city scholars and practitioners have attempted to tackle these problems but lack an integrated approach and practical implementation tools to solve them. This book explains how to build digital twin metaverse cities aimed to accelerate urban digital transformation through emerging technologies.You'll start by identifying a problem statement, designing a novel digital twin metaverse architecture, reviewing emerging technologies as building blocks and showcasing interesting applications. You'll then review state-of-the-art digital twin metaverse development tools and present readers with interesting engineering prototypes of my proposed digital twin smart cities. Finally, you'll discover how to avoid some management pitfalls during the construction of innovative smart cities, including project management, change management, leadership skills, and modern management information systems.With Building Digital Twin Metaverse Cities you'll work with a novel architectural design and use the latest technologies as building blocks to construct smart cities of your own.What You'll LearnExplore complex issues arising from rapid urbanization.Discover how emerging technologies like 5G, IoT, and AI can solve urban problems.Master the digital twinning process powered by the Data Analytics Flywheel.Explore core and enabling technologies shaping Digital Twin Metaverse Cities.Gain hands-on experience with development tools and prototypes for smart city applications.Who This Book Is ForProfessionals who want to learn emerging technologies and digital twin metaverse development tools to construct innovative smart cities to solve the current pressing urbanization problems. General readers like city residents and government officials worldwide, who are suffering from the growing pains of rapid urbanization and looking for effective smart city solutions using new technologies and methodology. Smart city researchers and college students wanting to build smart projects for urban digital transformation and smart Xs (everything).Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 516 pp. Englisch.