Social Network Data Mining: Research Questions, Techniques, and Applications -- Automatic Expansion of a Social Network Using Sentiment Analysis -- Automatic Mapping of Social Networks of Actors from Text Corpora: Time Series Analysis -- A Social Network-Based Recommender System (SNRS) --...

Tobias Roelen-Blasberg stellt in diesem Buch einen neuen Ansatz zur automatisierten Präferenzmessung vor. Anhand verschiedener Methoden aus den Bereichen Natural Language Processing, Text Mining und Machine Learning extrahiert der automatisierte Ansatz Produktattribute aus nutzergenerierten,...

In diesem Buch werden die Grundlagen des Opinion Minings dargestellt sowie mögliche Ansätze, Methoden und Algorithmen aus den Bereichen Text Mining, linguistische Algorithmen, semantische Technologien und Information Retrieval aufgezeigt. Beim Opinion Mining geht es darum, textuell vorliegende...

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines...

Das Buch beschäftigt sich umfassend mit der Bereitstellung und Verwendung entscheidungsunterstützender Informationen im Human Resource Management. Dazu wird der Themenbereich Human Resource Intelligence und Analytics (HRIA) aus den unterschiedlichen Perspektiven der Wissenschaft, der Anbieter...

This book shows you how to use social media analytics to optimize your business performance. The tools discussed will prepare you to create and implement an effective digital marketing strategy. From understanding the data and its sources to detailed metrics, dashboards, and reports, this book...

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers,...

Foreword by Prof. John L. Hennessy (Stanford University, California, USA) and Prof. David A. Patterson (University of California at Berkeley, USA). - Preface . - Introduction. - PART I - An Infl ection Point for Enterprise Applications . - 1 Desirability, Feasibility, Viability - The Impact of...

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the...

This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for...