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Mining User Generated Content by Marie-Francine Moens,Juanzi Li,Tat-Seng Chua Pdf
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed to tackle the huge amount of real-time, multimedia,
Mining User Generated Content by Marie-Francine Moens,Juanzi Li,Tat-Seng Chua Pdf
Originating from Facebook, LinkedIn, Twitter, Instagram, YouTube, and many other networking sites, the social media shared by users and the associated metadata are collectively known as user generated content (UGC). To analyze UGC and glean insight about user behavior, robust techniques are needed to tackle the huge amount of real-time, multimedia, and multilingual data. Researchers must also know how to assess the social aspects of UGC, such as user relations and influential users. Mining User Generated Content is the first focused effort to compile state-of-the-art research and address future directions of UGC. It explains how to collect, index, and analyze UGC to uncover social trends and user habits. Divided into four parts, the book focuses on the mining and applications of UGC. The first part presents an introduction to this new and exciting topic. Covering the mining of UGC of different medium types, the second part discusses the social annotation of UGC, social network graph construction and community mining, mining of UGC to assist in music retrieval, and the popular but difficult topic of UGC sentiment analysis. The third part describes the mining and searching of various types of UGC, including knowledge extraction, search techniques for UGC content, and a specific study on the analysis and annotation of Japanese blogs. The fourth part on applications explores the use of UGC to support question-answering, information summarization, and recommendations.
Social Information Access by Peter Brusilovsky,Daqing He Pdf
Social information access is defined as a stream of research that explores methods for organizing the past interactions of users in a community in order to provide future users with better access to information. Social information access covers a wide range of different technologies and strategies that operate on a different scale, which can range from a small closed corpus site to the whole Web. The 16 chapters included in this book provide a broad overview of modern research on social information access. In order to provide a balanced coverage, these chapters are organized by the main types of information access (i.e., social search, social navigation, and recommendation) and main sources of social information.
Extracting, Mining and Predicting Users' Interests from Social Media by Fattane Zarrinkalam,Stefano Faralli,Guangyuan Piao,Ebrahim Bagheri Pdf
Mining user interests from user behavioral data is critical for many applications. Based on user interests, service providers like advertisers can significantly reduce service delivery costs by offering the most relevant products to their customers. The challenge of accurately and efficiently identifying user interests has been the subject of increasing attention for several years. With the emergence and growing popularity of social media, many users are extensively engaged in social media applications to express their feelings and views about a wide variety of social events/topics as they happen in real time. The abundance of user generated content on social media provides the opportunity to build models that are able to accurately and effectively extract, mine, and predict users' interests with the hopes of enabling more effective user engagement, better quality delivery of appropriate services, and higher user satisfaction. While traditional methods for building user profiles relied on AI-based preference elicitation techniques that could have been considered intrusive and undesirable by the users, more recent advances are focused on a non-intrusive yet accurate way of determining users' interests and preferences. In this monograph, the authors cover five important subjects related to the mining of user interests from social media: (1) the foundations of social user interest modeling, (2) techniques that have been adopted or proposed for mining user interests, (3) different evaluation methodologies and benchmark datasets, (4) different applications that have been taking advantage of user interest mining from social media platforms, and (5) existing challenges, open research questions, and opportunities for further work. The monograph is a valuable resource for those who have familiarity with social media mining and the basics of information retrieval (IR) techniques.
Human-Computer Interaction and Knowledge Discovery in Complex, Unstructured, Big Data by Andreas Holzinger,Gabriella Pasi Pdf
This book constitutes the refereed proceedings of the Third Workshop on Human-Computer Interaction and Knowledge Discovery, HCI-KDD 2013, held in Maribor, Slovenia, in July 2013, at SouthCHI 2013. The 20 revised papers presented were carefully reviewed and selected from 68 submissions. The papers are organized in topical sections on human-computer interaction and knowledge discovery, knowledge discovery and smart homes, smart learning environments, and visualization data analytics.
Digital Personality: A Man Forever by Kuldeep Singh Kaswan,Jagjit Singh Dhatterwal,Anand Nayyar Pdf
This book delves into the very core of our digital existence, unearthing the essence of a digital persona. It's a realm where authenticity meets multiplicity, as we decipher the nuanced art of crafting and managing our online identities. We confront issues of privacy and ethics, exploring the profound impact of our digital footprints on our lives and society. The integration of AI paves the way for an intriguing future, with predictions that challenge our understanding of self in the digital age. Welcome to a world where your digital personality is more than just data; it's a reflection of who you are and who you can be. The main goal of this book is to enable more seamless and natural human–computer interaction. This will provide better personalized experience. Further, this will influence the performance of the user, wherein they will have the support of the machines to achieve their tasks in the most efficient way. This book is the first of a kind in introducing Digital Personality. It provides an overview of the character dimensions and how state-of-the-art technologies would accommodate such a research field. It includes novel representation of character from various perspectives. It also provides instances of applications of this emerging research field.
Small and Medium Enterprises by Information Resources Management Association Pdf
"This book provides a comprehensive collection of research on current technological developments and organizational perspectives on the scale of small and medium enterprises"--Provided by publisher.
Emerging Applications of Natural Language Processing: Concepts and New Research by Bandyopadhyay, Sivaji Pdf
"This book provides pertinent and vital information that researchers, postgraduate, doctoral students, and practitioners are seeking for learning about the latest discoveries and advances in NLP methodologies and applications of NLP"--Provided by publisher.
Social Media Mining and Social Network Analysis: Emerging Research by Xu, Guandong Pdf
Social Media Mining and Social Network Analysis: Emerging Research highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organization science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.
Advances in Social Media Analysis by Mohamed Medhat Gaber,Mihaela Cocea,Nirmalie Wiratunga,Ayse Goker Pdf
This volume presents a collection of carefully selected contributions in the area of social media analysis. Each chapter opens up a number of research directions that have the potential to be taken on further in this rapidly growing area of research. The chapters are diverse enough to serve a number of directions of research with Sentiment Analysis as the dominant topic in the book. The authors have provided a broad range of research achievements from multimodal sentiment identification to emotion detection in a Chinese microblogging website. The book will be useful to research students, academics and practitioners in the area of social media analysis.
Urban Informatics by Wenzhong Shi,Michael F. Goodchild,Michael Batty,Mei-Po Kwan,Anshu Zhang Pdf
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
An Extension of Neutrosophic AHP–SWOT Analysis for Strategic Planning and Decision-Making by Mohamed Abdel-Basset,Mai Mohamed,Florentin Smarandache Pdf
Every organization seeks to set strategies for its development and growth and to do this, it must take into account the factors that affect its success or failure.
Data Mining in Dynamic Social Networks and Fuzzy Systems by Bhatnagar, Vishal Pdf
Many organizations, whether in the public or private sector, have begun to take advantage of the tools and techniques used for data mining. Utilizing data mining tools, these organizations are able to reveal the hidden and unknown information from available data. Data Mining in Dynamic Social Networks and Fuzzy Systems brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems. With these improved modern techniques of data mining, this publication aims to provide insight and support to researchers and professionals concerned with the management of expertise, knowledge, information, and organizational development.
