Availability: Probabilistic approaches for social media analysis

Probabilistic approaches for social media analysis: data, community and influence

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Bibliographic Details
Main Authors:	Yue, Kun 1979- (Author), Li, Jin (Author), Wu, Hao 1979- (Author), Liu, Weiyi 1950- (Author), Yin, Zidu (Author)
Format:	Electronic eBook
Language:	English
Published:	New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Tapei ; Chennai ; Tokyo World scientific [2020]
Series:	East China Normal University scientific reports vol. 11
Subjects:	Social media > Data processing Text processing (Computer science) Quantitative research > Statistical methods Machine learning Content analysis (Communication) > Data processing Social Media Maschinelles Lernen Quantitative Methode Textanalyse
Links:	https://doi.org/10.1142/11476 https://doi.org/10.1142/11476
Abstract:	"This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"--
Physical Description:	1 Online-Ressource (xxii, 265 Seiten) Illustrationen
ISBN:	9789811207389
DOI:	10.1142/11476

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Record in the Search Index

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spelling	Yue, Kun 1979- Verfasser (DE-588)1174759267 aut Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China) New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Tapei ; Chennai ; Tokyo World scientific [2020] © 2020 1 Online-Ressource (xxii, 265 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier East China Normal University scientific reports vol. 11 "This unique compendium focuses on the acquisition and analysis of social media data. The approaches concern both the data-intensive characteristics and graphical structures of social media. The book addresses the critical problems in social media analysis, which representatively cover its lifecycle. The must-have volume is an excellent reference text for professionals, researchers, academics and graduate students in AI and databases"-- Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Textanalyse (DE-588)4194196-2 gnd rswk-swf Social Media (DE-588)4639271-3 s Textanalyse (DE-588)4194196-2 s Maschinelles Lernen (DE-588)4193754-5 s Quantitative Methode (DE-588)4232139-6 s DE-604 Li, Jin Verfasser aut Wu, Hao 1979- Verfasser (DE-588)1208236792 aut Liu, Weiyi 1950- Verfasser (DE-588)117475981X aut Yin, Zidu Verfasser aut Erscheint auch als Druck-Ausgabe, Hardcover 978-981-120-737-2 East China Normal University scientific reports vol. 11 (DE-604)BV046821394 11 https://doi.org/10.1142/11476 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Yue, Kun 1979- Li, Jin Wu, Hao 1979- Liu, Weiyi 1950- Yin, Zidu Probabilistic approaches for social media analysis data, community and influence East China Normal University scientific reports Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Textanalyse (DE-588)4194196-2 gnd
subject_GND	(DE-588)4639271-3 (DE-588)4193754-5 (DE-588)4232139-6 (DE-588)4194196-2
title	Probabilistic approaches for social media analysis data, community and influence
title_auth	Probabilistic approaches for social media analysis data, community and influence
title_exact_search	Probabilistic approaches for social media analysis data, community and influence
title_full	Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China)
title_fullStr	Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China)
title_full_unstemmed	Probabilistic approaches for social media analysis data, community and influence Kun Yue, Jin Li, Hao Wu, Weiyi Liu, Zidu Yin (Yunnan University, China)
title_short	Probabilistic approaches for social media analysis
title_sort	probabilistic approaches for social media analysis data community and influence
title_sub	data, community and influence
topic	Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media (DE-588)4639271-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd Quantitative Methode (DE-588)4232139-6 gnd Textanalyse (DE-588)4194196-2 gnd
topic_facet	Social media Data processing Text processing (Computer science) Quantitative research Statistical methods Machine learning Content analysis (Communication) Data processing Social Media Maschinelles Lernen Quantitative Methode Textanalyse
url	https://doi.org/10.1142/11476
volume_link	(DE-604)BV046821394
work_keys_str_mv	AT yuekun probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT lijin probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT wuhao probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT liuweiyi probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence AT yinzidu probabilisticapproachesforsocialmediaanalysisdatacommunityandinfluence

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