서지주요정보
Social Media Analysis for Event Detection [electronic resource]
서명 / 저자 Social Media Analysis for Event Detection [electronic resource] / edited by Tansel Özyer.
저자명 Özyer, Tansel. editor. edt http://id.loc.gov/vocabulary/relators/edt
단체명 SpringerLink (Online service)
발행사항 Cham : Springer International Publishing : Imprint: Springer, 2022.
Online Access https://doi.org/10.1007/978-3-031-08242-9 URL

서지기타정보

서지기타정보
청구기호 Q336
판사항 1st ed. 2022.
형태사항 VI, 229 p. 1 illus. online resource.
총서명 Lecture Notes in Social Networks, 2190-5436
언어 English
내용 Chapter 1. A network-based approach to understanding international cooperation in environmental protection (Andreea Nita) -- Chapter 2. Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor (Amruta Deshpande) -- Chapter 3. TenFor: Tool to Mine Interesting Events from Security Forums Leveraging Tensor Decomposition (Risul Islam) -- Chapter 4. Profile Fusion in Social Networks: A Data-Driven Approach -Youcef Benkhedda) -- Chapter 5. RISECURE: Metro Transit Disruptions Detection Using Social Media Mining And Graph Convolution (Omer Zulqar) -- Chapter 6. Local Taxonomy Construction: An Information Retrieval Approach Using Representation Learning (Mayank Kejriwal) -- Chapter 7. The evolution of online sentiments across Italy during first and second wave of the COVID-19 pandemic (Francesco Scotti) -- Chapter 8. Inferring Degree of Localization and Popularity of Twitter Topics and Persons using Temporal Features (Aleksey Panasyuk) -- Chapter 9. Covid-19 and Vaccine Tweet Analysis (Eren Alp).
주제 Artificial intelligence—Data processing.
Social media.
Natural language processing (Computer science).
Graph theory.
Machine learning.
Data Science.
Social Media.
Natural Language Processing (NLP).
Graph Theory.
Machine Learning.
보유판 및 특별호 저록 Springer Nature eBook
Printed edition: 9783031082412 Printed edition: 9783031082436 Printed edition: 9783031082443
ISBN 9783031082429
기타 표준번호 10.1007/978-3-031-08242-9
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