Data Mining Methods for the Content Analyst
Data Mining Methods for the Content Analyst

Author: Kalev Leetaru

Publisher: Routledge

Published: 2012

Total Pages: 122

ISBN-13: 0415895138

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This research reference introduces readers to the data mining technologies available for use in content analysis research. Supporting the increasingly popular trend of employing digital analysis methodologies in the humanities, arts, and social sciences, this work provides crucial answers for researchers who are not familiar with data mining approaches and who do not know what they can do, how they work, or how their strengths and weaknesses match up to the strengths and weaknesses of human coded content analysis data. Offering valuable insights and guidance for using automated analytical techniques in content analysis research, this guide will appeal to both novice and experienced researchers throughout the humanities, arts, and social sciences.

Multimedia Content Analysis
Multimedia Content Analysis

Author: Ajay Divakaran

Publisher: Springer Science & Business Media

Published: 2009-03-02

Total Pages: 412

ISBN-13: 0387765697

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Multimedia Content Analysis: Theory and Applications covers the latest in multimedia content analysis and applications based on such analysis. As research has progressed, it has become clear that this field has to appeal to other disciplines such as psycho-physics, media production, etc. This book consists of invited chapters that cover the entire range of the field. Some of the topics covered include low-level audio-visual analysis based retrieval and indexing techniques, the TRECVID effort, video browsing interfaces, content creation and content analysis, and multimedia analysis-based applications, among others. The chapters are written by leading researchers in the multimedia field.

Challenges and Applications of Data Analytics in Social Perspectives
Challenges and Applications of Data Analytics in Social Perspectives

Author: Sathiyamoorthi, V.

Publisher: IGI Global

Published: 2020-12-04

Total Pages: 324

ISBN-13: 179982568X

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With exponentially increasing amounts of data accumulating in real-time, there is no reason why one should not turn data into a competitive advantage. While machine learning, driven by advancements in artificial intelligence, has made great strides, it has not been able to surpass a number of challenges that still prevail in the way of better success. Such limitations as the lack of better methods, deeper understanding of problems, and advanced tools are hindering progress. Challenges and Applications of Data Analytics in Social Perspectives provides innovative insights into the prevailing challenges in data analytics and its application on social media and focuses on various machine learning and deep learning techniques in improving practice and research. The content within this publication examines topics that include collaborative filtering, data visualization, and edge computing. It provides research ideal for data scientists, data analysts, IT specialists, website designers, e-commerce professionals, government officials, software engineers, social media analysts, industry professionals, academicians, researchers, and students.

TV Content Analysis
TV Content Analysis

Author: Yiannis Kompatsiaris

Publisher: CRC Press

Published: 2012-03-19

Total Pages: 676

ISBN-13: 1466559128

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The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a de

Multimedia Mining
Multimedia Mining

Author: Chabane Djeraba

Publisher: Springer Science & Business Media

Published: 2002-11-30

Total Pages: 258

ISBN-13: 9781402072475

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Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines. Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.

Social Media Mining and Social Network Analysis: Emerging Research
Social Media Mining and Social Network Analysis: Emerging Research

Author: Xu, Guandong

Publisher: IGI Global

Published: 2013-01-31

Total Pages: 272

ISBN-13: 1466628073

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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.

Multimodal Analysis of User-Generated Multimedia Content
Multimodal Analysis of User-Generated Multimedia Content

Author: Rajiv Shah

Publisher: Springer

Published: 2017-08-30

Total Pages: 279

ISBN-13: 3319618075

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This book presents a summary of the multimodal analysis of user-generated multimedia content (UGC). Several multimedia systems and their proposed frameworks are also discussed. First, improved tag recommendation and ranking systems for social media photos, leveraging both content and contextual information, are presented. Next, we discuss the challenges in determining semantics and sentics information from UGC to obtain multimedia summaries. Subsequently, we present a personalized music video generation system for outdoor user-generated videos. Finally, we discuss approaches for multimodal lecture video segmentation techniques. This book also explores the extension of these multimedia system with the use of heterogeneous continuous streams.

Data Mining Approaches for Big Data and Sentiment Analysis in Social Media
Data Mining Approaches for Big Data and Sentiment Analysis in Social Media

Author: Brij Gupta

Publisher:

Published: 2021

Total Pages: 336

ISBN-13: 9781799884132

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"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends"--

Mining Multimedia Documents
Mining Multimedia Documents

Author: Wahiba Ben Abdessalem Karaa

Publisher: CRC Press

Published: 2017-04-21

Total Pages: 243

ISBN-13: 1315399733

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The information age has led to an explosion in the amount of information available to the individual and the means by which it is accessed, stored, viewed, and transferred. In particular, the growth of the internet has led to the creation of huge repositories of multimedia documents in a diverse range of scientific and professional fields, as well as the tools to extract useful knowledge from them. Mining Multimedia Documents is a must-read for researchers, practitioners, and students working at the intersection of data mining and multimedia applications. It investigates various techniques related to mining multimedia documents based on text, image, and video features. It provides an insight into the open research problems benefitting advanced undergraduates, graduate students, researchers, scientists and practitioners in the fields of medicine, biology, production, education, government, national security and economics.

TV Content Analysis
TV Content Analysis

Author: Yiannis Kompatsiaris

Publisher: CRC Press

Published: 2012-03-19

Total Pages: 676

ISBN-13: 1439855609

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The rapid advancement of digital multimedia technologies has not only revolutionized the production and distribution of audiovisual content, but also created the need to efficiently analyze TV programs to enable applications for content managers and consumers. Leaving no stone unturned, TV Content Analysis: Techniques and Applications provides a detailed exploration of TV program analysis techniques. Leading researchers and academics from around the world supply scientifically sound treatment of recent developments across the related subject areas—including systems, architectures, algorithms, applications, research results, emerging approaches, and open issues. The book is organized into six parts: Content Extraction - deals with automatic analysis and annotation of TV content, addressing generic semantics and concepts as well as TV content Content Structuring - examines techniques for identifying interesting parts of TV programs and supplying direct access to it Content Recommendation - explores the problem of providing users with the most relevant content, addressing the problem of an ever-increasing amount of available content Content Quality - considers visual perception and quality approaches in the multi-display TV context and the specific mobile TV scenario Web and Social TV - presents studies on Web and TV convergence and on how user-generated content in Web 2.0 applications can be used to enhance services Content Production - covers postproduction, visual effects, and presentation standards Most parts start with a chapter that provides an overview of that area, followed by state-of-the-art approaches focusing on specific issues covered in that section. Reporting on recent advances in the field, the book provides you with the global view and up-to-date understanding of emerging trends needed to participate in the development of the digital TV domain.