Social Media Data Extraction and Content Analysis, Shalin Hai-Jew

Автор: Nhung Do, J. Wenny Rahayu, Torab Torabi
Название: Developments in Data Extraction, Management, and Analysis
ISBN: 1466621486 ISBN-13(EAN): 9781466621480
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: This is an essential collection of research on the area of data mining and analytics. Presenting the most recent perspectives on data mining subjects and current issues, this book is useful for practitioners and academics alike.

Автор: Przemys?aw Kazienko; Nitesh Chawla
Название: Applications of Social Media and Social Network Analysis
ISBN: 3319364413 ISBN-13(EAN): 9783319364414
Издательство: Springer
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Цена: 79190.00 T
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Описание: This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis.

Автор: Martin Atzmueller; Alvin Chin; Denis Helic; Andrea
Название: Ubiquitous Social Media Analysis
ISBN: 3642453910 ISBN-13(EAN): 9783642453915
Издательство: Springer
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Цена: 42860.00 T
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Описание: This book constitutes the thoroughly refereed joint post-proceedings of the Third International Workshop on Mining Ubiquitous and Social Environments, MUSE 2012, held in Bristol, UK, in September 2012, and the Third International Workshop on Modeling Social Media, MSM 2012, held in Milwaukee, WI, USA, in June 2012.

Автор: Xu & Li
Название: Social Media Mining And Social Network Analysis
ISBN: 1466628065 ISBN-13(EAN): 9781466628069
Издательство: Mare Nostrum (Eurospan)
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Цена: 170010.00 T
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Описание: The widespread use of web-based communities, social media, and social networking sites has brought a rapid change to the interaction between computers and users as well as the digital experience as a whole. <br><br><em>Social Media Mining and Social Network Analysis: Emerging Research</em> highlights the advancements made in social network analysis and social web mining and its influence in the fields of computer science, information systems, sociology, organisation science discipline and much more. This collection of perspectives on developmental practice is useful for industrial practitioners as well as researchers and scholars.

Автор: Ioannis Pitas
Название: Graph-Based Social Media Analysis
ISBN: 149871904X ISBN-13(EAN): 9781498719049
Издательство: Taylor&Francis
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Цена: 107190.00 T
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Описание:

Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use of graph analysis in the study of social and digital media. It addresses an important scientific and technological challenge, namely the confluence of graph analysis and network theory with linear algebra, digital media, machine learning, big data analysis, and signal processing.

Supplying an overview of graph-based social media analysis, the book provides readers with a clear understanding of social media structure. It uses graph theory, particularly the algebraic description and analysis of graphs, in social media studies.

The book emphasizes the big data aspects of social and digital media. It presents various approaches to storing vast amounts of data online and retrieving that data in real-time. It demystifies complex social media phenomena, such as information diffusion, marketing and recommendation systems in social media, and evolving systems. It also covers emerging trends, such as big data analysis and social media evolution.

Describing how to conduct proper analysis of the social and digital media markets, the book provides insights into processing, storing, and visualizing big social media data and social graphs. It includes coverage of graphs in social and digital media, graph and hyper-graph fundamentals, mathematical foundations coming from linear algebra, algebraic graph analysis, graph clustering, community detection, graph matching, web search based on ranking, label propagation and diffusion in social media, graph-based pattern recognition and machine learning, graph-based pattern classification and dimensionality reduction, and much more.

This book is an ideal reference for scientists and engineers working in social media and digital media production and distribution. It is also suitable for use as a textbook in undergraduate or graduate courses on digital media, social media, or social networks.

Автор: Basant Agarwal; Namita Mittal
Название: Prominent Feature Extraction for Sentiment Analysis
ISBN: 3319253417 ISBN-13(EAN): 9783319253411
Издательство: Springer
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Цена: 121890.00 T
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Описание:

1 Introduction

2 Literature Survey

3 Machine Learning Approach for Sentiment Analysis

4 Semantic Parsing using Dependency Rules

5 Sentiment Analysis using ConceptNet Ontology and Context

Information

6 Semantic Orientation based Approach for Sentiment Analysis

7 Conclusions and FutureWork

References

Glossary
Index

Автор: Ishikawa Hiroshi
Название: Social Media Mining
ISBN: 149871093X ISBN-13(EAN): 9781498710930
Издательство: Taylor&Francis
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Цена: 112290.00 T
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This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications, and scalability. It explains analytical techniques such as modeling, data mining, and multivariate analysis for social big data. This book is different from other similar books in that presents the overall picture of social big data from fundamental concepts to applications while standing on academic bases.

Автор: Mohamed Medhat Gaber; Mihaela Cocea; Nirmalie Wira
Название: Advances in Social Media Analysis
ISBN: 3319184571 ISBN-13(EAN): 9783319184579
Издательство: Springer
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Цена: 102480.00 T
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Описание: Advances in Social Media Analysis

Автор: Jalal Kawash
Название: Online Social Media Analysis and Visualization
ISBN: 3319135899 ISBN-13(EAN): 9783319135892
Издательство: Springer
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Цена: 102480.00 T
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Описание: The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others.

Автор: Mohamed Medhat Gaber; Mihaela Cocea; Nirmalie Wira
Название: Advances in Social Media Analysis
ISBN: 3319356186 ISBN-13(EAN): 9783319356181
Издательство: Springer
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Цена: 95770.00 T
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Описание: Case-Studies in Mining User-Generated Reviews for Recommendation.- Mining Newsworthy Topics from Social Media.- Sentiment Analysis Using Supervised Learning with Domain-Adaptation and Sentence-Based Analysis.- Pattern-based Emotion Classification on Social Media.- Entity-based Opinion Mining from Text and Multimedia.- Predicting Emotion Labels for Chinese Microblog Texts.

Автор: Volker Eisenlauer
Название: A Critical Hypertext Analysis of Social Media: The True Colours of Facebook
ISBN: 1474222862 ISBN-13(EAN): 9781474222860
Издательство: Bloomsbury Academic
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Цена: 40120.00 T
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Описание: Facebook, in just a few years, has become one of the central tools people use to communicate with each other in everyday life. However, the perceived freedom of action on the site and the actual processes that are permitted in Facebook's set up don't always match up: in this book this gap is examined. This book identifies the interrelations between user text actions and the software environment framing them. It takes a critical perspective on Facebook and develops a model that grants methodological access to complex interlaced practices incorporating media, text and literacies. It shows Facebook users employing idiosyncratic and Facebook-specific literacy practices, and gives weight to the larger hypothesis of the software service as an ideological setting designed to calculate and standardize human behaviour. Specifically, the book examines text action and automation within Facebook to determine how the software service intervenes in the communicative flow between/among profile owners and profile recipients. This is cutting edge work and of huge importance to modern fields of discourse analysis and computer-mediated communication.

Автор: Przemys?aw Kazienko; Nitesh Chawla
Название: Applications of Social Media and Social Network Analysis
ISBN: 3319190024 ISBN-13(EAN): 9783319190020
Издательство: Springer
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Цена: 102480.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This collection of contributed chapters demonstrates a wide range of applications within two overlapping research domains: social media analysis and social network analysis.