EAN: 9783031336164

SPRINGERBRIEFS IN COMPUTER SCIENCE GENERATIVE...

This book provides a broad overview of the state of the art of the research in generative
methods for the analysis of social media data. It especially includes two important aspects
that currently gain importance in mining and modelling social media: dynamics and networks. The
book is divided into five chapters and provides an extensive bibliography consisting of more
than 250 papers. After a quick introduction and survey of the book in the first chapter 
chapter 2 is devoted to the discussion of data models and ontologies for social network
analysis. Next  chapter 3 deals with text generation and generative text models and the dangers
they pose to social media and society at large. Chapter 4 then focuses on topic modelling and
sentiment analysis in the context of social networks. Finally  Chapter 5 presents graph theory
tools and approaches to mine and model social networks. Throughout the book  open problems 
highlighting potential future directions  are clearly identified. The book aims at researchers
and graduate students in social media analysis  information retrieval  and machine learning
applications.

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