청구기호 |
Q336 |
판사항 |
1st ed. 2022.
|
형태사항 |
VI, 229 p. 1 illus. online resource.
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총서명 |
Lecture Notes in Social Networks, 2190-5436
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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).
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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.
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보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9783031082412
Printed edition: 9783031082436
Printed edition: 9783031082443
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ISBN |
9783031082429 |
기타 표준번호 |
10.1007/978-3-031-08242-9 |
QR CODE |
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