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008			230705s2023 sz | o |||| 0|eng d
020			_a9783031336171
024	7		_a10.1007/978-3-031-33617-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .Q36 _b2023 EB
100	1		_aMatwin, Stan _eautor _0(orcid)0000-0001-6629-8434 _1https://orcid.org/0000-0001-6629-8434 _4http://id.loc.gov/vocabulary/relators/aut _996941
245	1	0	_aGenerative Methods for Social Media Analysis _cby Stan Matwin, Aristides Milios, Paweł Prałat, Amilcar Soares, François Théberge
250			_a1st ed 2023
264		1	_aCham _bSpringer Nature Switzerland _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aSpringerBriefs in Computer Science _x2191-5776
505	0		_a1. Introduction -- 2. Ontologies and Data Models for Cross-platform Social Media Data -- 3. Methods for Text Generation in NLP -- 4. Topic and Sentiment Modelling for Social Media -- 5. Mining and Modelling Complex Networks -- 6. Conclusions.
520			_aThis 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.
988			_aSpringer_Computer_2023
650		7	_2embne _9163512 _aInvestigación cualitativa
700	1		_9690199 _aMilios, Aristides _eautor
700	1		_9690200 _aPrałat, Paweł _eautor
700	1		_9690201 _aSoares, Amilcar _eautor
700	1		_9690202 _aThéberge, François _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-33617-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2024 _dz _ek _zSI