Social Media Retrieval

Social Media Retrieval
Author: Naeem Ramzan
Publisher: Springer Science & Business Media
Total Pages: 479
Release: 2012-12-05
Genre: Computers
ISBN: 1447145550

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This comprehensive text/reference examines in depth the synergy between multimedia content analysis, personalization, and next-generation networking. The book demonstrates how this integration can result in robust, personalized services that provide users with an improved multimedia-centric quality of experience. Each chapter offers a practical step-by-step walkthrough for a variety of concepts, components and technologies relating to the development of applications and services. Topics and features: introduces the fundamentals of social media retrieval, presenting the most important areas of research in this domain; examines the important topic of multimedia tagging in social environments, including geo-tagging; discusses issues of personalization and privacy in social media; reviews advances in encoding, compression and network architectures for the exchange of social media information; describes a range of applications related to social media.

Information Retrieval and Social Media Mining

Information Retrieval and Social Media Mining
Author: María N. Moreno García
Publisher: MDPI
Total Pages: 144
Release: 2021-03-09
Genre: Technology & Engineering
ISBN: 3036502467

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This book presents diverse contributions related to some of the latest advances in the field of personalization and recommender systems, as well as social media and sentiment analysis. The work comprises several articles that address different problems in these areas by means of recent techniques such as deep learning, methods to analyze the structure and the dynamics of social networks, and modern language processing approaches for sentiment analysis, among others. The proposals included in the book are representative of some highly topical research directions and cover different application domains where they have been validated. These go from the recommendation of hotels, movies, music, documents, or pharmacy cross-selling to sentiment analysis in the field of telemedicine and opinion mining on news, also including the study of social capital on social media and dynamics aspects of the Twitter social network.

Modeling Approaches and Algorithms for Advanced Computer Applications

Modeling Approaches and Algorithms for Advanced Computer Applications
Author: Abdelmalek Amine
Publisher: Springer
Total Pages: 443
Release: 2013-08-23
Genre: Technology & Engineering
ISBN: 331900560X

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"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificial neural networks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International Conference on Computer Science and Its Applications (CIIA’2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track 4: Computer Systems and Applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as image processing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively

Social Information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively
Author: Goh, Dion
Publisher: IGI Global
Total Pages: 396
Release: 2007-10-31
Genre: Business & Economics
ISBN: 1599045451

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The wealth of information accessible on the Internet has grown exponentially since its advent. This mass of content must be systemically sifted to glean pertinent data, and the utilization of the collective intelligence of other users, or social information retrieval, is an innovative, emerging technique. Social Information Retrieval Systems: Emerging Technologies & Applications for Searching the Web Effectively provides relevant content in the areas of information retrieval systems, services, and research; covering topics such as social tagging, collaborative querying, social network analysis, subjective relevance judgments, and collaborative filtering. Answering the increasing demand for authoritative resources on Internet technologies, this Premier Reference Source will make an indispensable addition to any library collection.

Web Information Retrieval

Web Information Retrieval
Author: Stefano Ceri
Publisher: Springer Science & Business Media
Total Pages: 287
Release: 2013-08-30
Genre: Computers
ISBN: 3642393144

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With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications. Ceri and his co-authors aim at taking their readers from the foundations of modern information retrieval to the most advanced challenges of Web IR. To this end, their book is divided into three parts. The first part addresses the principles of IR and provides a systematic and compact description of basic information retrieval techniques (including binary, vector space and probabilistic models as well as natural language search processing) before focusing on its application to the Web. Part two addresses the foundational aspects of Web IR by discussing the general architecture of search engines (with a focus on the crawling and indexing processes), describing link analysis methods (specifically Page Rank and HITS), addressing recommendation and diversification, and finally presenting advertising in search (the main source of revenues for search engines). The third and final part describes advanced aspects of Web search, each chapter providing a self-contained, up-to-date survey on current Web research directions. Topics in this part include meta-search and multi-domain search, semantic search, search in the context of multimedia data, and crowd search. The book is ideally suited to courses on information retrieval, as it covers all Web-independent foundational aspects. Its presentation is self-contained and does not require prior background knowledge. It can also be used in the context of classic courses on data management, allowing the instructor to cover both structured and unstructured data in various formats. Its classroom use is facilitated by a set of slides, which can be downloaded from www.search-computing.org.

Social Media Retrieval and Mining

Social Media Retrieval and Mining
Author: Shuigeng Zhou
Publisher: Springer
Total Pages: 169
Release: 2013-11-18
Genre: Computers
ISBN: 3642416292

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This book constitutes the refereed proceedings of the ADMA 2012 Workshops: The International Workshop on Social Network Analysis and Mining, SNAM 2012, and the International Workshop on Social Media Mining, Retrieval and Recommendation Technologies, SMR 2012, Nanjing, China, in December 2012. The 15 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on networks and graphs processing; social Web; social information diffusion; social image retrieval and visualization.

Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling

Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling
Author: Chevalier, Max
Publisher: IGI Global
Total Pages: 390
Release: 2009-04-30
Genre: Business & Economics
ISBN: 1605663077

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"This book deals with the improvement of user modeling in the context of Collaborative and Social Information Access and Retrieval (CSIRA) techniques"--Provided by publisher.

Social Monitoring for Public Health

Social Monitoring for Public Health
Author: Michael J. Paul
Publisher: Morgan & Claypool Publishers
Total Pages: 185
Release: 2017-08-31
Genre: Computers
ISBN: 1681730960

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Public health thrives on high-quality evidence, yet acquiring meaningful data on a population remains a central challenge of public health research and practice. Social monitoring, the analysis of social media and other user-generated web data, has brought advances in the way we leverage population data to understand health. Social media offers advantages over traditional data sources, including real-time data availability, ease of access, and reduced cost. Social media allows us to ask, and answer, questions we never thought possible. This book presents an overview of the progress on uses of social monitoring to study public health over the past decade. We explain available data sources, common methods, and survey research on social monitoring in a wide range of public health areas. Our examples come from topics such as disease surveillance, behavioral medicine, and mental health, among others. We explore the limitations and concerns of these methods. Our survey of this exciting new field of data-driven research lays out future research directions.

Personal Information Retrieval From Multiple Social Networks

Personal Information Retrieval From Multiple Social Networks
Author: Waseem Ahmad
Publisher: Mohammed Abdul Malik
Total Pages: 0
Release: 2024-03-04
Genre: Computers
ISBN:

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In the last two decades, many online social networking sites have been developed that serve people by their interactive features. For example, a user interacts with her friends via personal posts on Facebook, uses Twitter to catch the latest news updates and share personal photographs on Instagram. People join different social communities in order to fulfill their needs; consequently, a large amount of personal information is generated on each social network. The effective retrieval and analysis of the users' shared personal information from multiple social networks may provide a logical understanding about their behavior, interest, and orientation. Further, proper organization and re-retrieval of the users' multi-source personal information may be helpful in dealing with false information, recommendations, and online conversation (reply to a social media post). However, retrieval of an individual's information from different sources is a tedious task due to unidentified accounts, privacy, and retrieval constraints. In the next section, we discuss the basic concept of social network, personal information and retrieval mechanism.

Biomedical Data Mining for Information Retrieval

Biomedical Data Mining for Information Retrieval
Author: Sujata Dash
Publisher: John Wiley & Sons
Total Pages: 450
Release: 2021-08-24
Genre: Computers
ISBN: 111971124X

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BIOMEDICAL DATA MINING FOR INFORMATION RETRIEVAL This book not only emphasizes traditional computational techniques, but discusses data mining, biomedical image processing, information retrieval with broad coverage of basic scientific applications. Biomedical Data Mining for Information Retrieval comprehensively covers the topic of mining biomedical text, images and visual features towards information retrieval. Biomedical and health informatics is an emerging field of research at the intersection of information science, computer science, and healthcare and brings tremendous opportunities and challenges due to easily available and abundant biomedical data for further analysis. The aim of healthcare informatics is to ensure the high-quality, efficient healthcare, better treatment and quality of life by analyzing biomedical and healthcare data including patient’s data, electronic health records (EHRs) and lifestyle. Previously, it was a common requirement to have a domain expert to develop a model for biomedical or healthcare; however, recent advancements in representation learning algorithms allows us to automatically to develop the model. Biomedical image mining, a novel research area, due to the vast amount of available biomedical images, increasingly generates and stores digitally. These images are mainly in the form of computed tomography (CT), X-ray, nuclear medicine imaging (PET, SPECT), magnetic resonance imaging (MRI) and ultrasound. Patients’ biomedical images can be digitized using data mining techniques and may help in answering several important and critical questions relating to healthcare. Image mining in medicine can help to uncover new relationships between data and reveal new useful information that can be helpful for doctors in treating their patients. Audience Researchers in various fields including computer science, medical informatics, healthcare IOT, artificial intelligence, machine learning, image processing, clinical big data analytics.