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  • Search: subject:"Twitter data"
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Year of publication
Subject
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Twitter data 22 Social Web 18 Social web 18 Data Mining 8 Data mining 8 COVID-19 6 Sentiment analysis 6 Coronavirus 4 Lieferkette 4 Supply chain 4 Consumer behaviour 3 Emotion 3 Konsumentenverhalten 3 Artificial intelligence 2 Bayesian statistics 2 Beta regression 2 Big Data 2 Big data 2 COPE Inventory 2 Deutschland 2 Einwanderung 2 Electoral campaign 2 Emotion detection 2 Emotion-focused coping 2 Epidemic 2 Epidemie 2 Fashion shopping 2 Flüchtlinge 2 Forecasting model 2 Germany 2 Google Trends 2 Immigration 2 Immigration policy 2 Impact assessment 2 International migration 2 Internationale Migration 2 Künstliche Intelligenz 2 Machine learning 2 Measurement 2 Migranten 2
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Online availability
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Undetermined 19 Free 10 CC license 1
Type of publication
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Article 23 Book / Working Paper 7
Type of publication (narrower categories)
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Article in journal 15 Aufsatz in Zeitschrift 15 Graue Literatur 6 Non-commercial literature 6 Arbeitspapier 5 Working Paper 5 Article 3 Aufsatz im Buch 1 Book section 1 Hochschulschrift 1 research-article 1 viewpoint 1
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Language
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English 29 Undetermined 1
Author
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Aßenmacher, Matthias 2 Barilari, Francesco 2 Bellucci, Davide 2 Conzo, Pierluigi 2 Han, Wenna 2 Heumann, Christian 2 Huang, Lucheng 2 Jiang, Jiaojiao 2 Khan, Sifat Shahriar 2 Li, Jitong 2 Morshed, Syed Ahnaf 2 Nur, Shafkath 2 Schulze, Patrick 2 Shokouhyar, Sajjad 2 Tanvir, Raihanul Bari 2 Thurner, Paul W. 2 Vivès, Rémi 2 Wiegrebe, Simon 2 Xu, Yingjiao 2 Zotti, Roberto 2 Amiri, Bahar 1 Angelico, Cristina 1 Babu, Korra Sathya 1 Bala, Pradip Kumar 1 Bharti, Santosh Kumar 1 Block, Jörn 1 Boppolige, Archana Anand 1 Cerchiello, Paola 1 Colella, Sara 1 Constantinescu, Mihnea 1 Daim, Tugrul U. 1 Deb, Soudeep 1 Dehkhodaei, Amirhossein 1 Dufourt, Frédéric 1 Fisch, Christian 1 Garg, Muskan 1 Giudici, Paolo 1 Goswami, Susobhan 1 Goussard, Yves 1 Gurtoo, Anjula 1
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Institution
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Dipartimento di Scienze Economiche e Aziendali, Università degli Studi di Pavia 1 Karlsruher Institut für Technologie / Fakultät für Wirtschaftswissenschaften 1
Published in...
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Technological forecasting & social change : an international journal 4 AStA Advances in Statistical Analysis 2 Australasian marketing journal 1 CIRRELT 1 DEM Working Papers Series 1 International Journal of Information Technology and Web Engineering (IJITWE) 1 International Journal on Semantic Web and Information Systems (IJSWIS) 1 International journal of finance & economics : IJFE 1 International journal of production economics 1 Journal of Fashion Marketing and Management: An International Journal 1 Journal of Urban Management 1 Journal of banking & finance 1 Journal of decision systems 1 Journal of economic geography 1 Journal of fashion marketing and management 1 Journal of modelling in management 1 Journal of urban management 1 NBU working paper 1 Online Information Review 1 Review of world economics 1 Smart analytics, artificial intelligence and sustainable performance management in a global digitalised economy : Part B 1 Temi di discussione / Banca d'Italia 1 Transportation research / E : an international journal 1 Working paper series 1 Working papers 1
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Source
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ECONIS (ZBW) 22 Other ZBW resources 4 EconStor 3 RePEc 1
Showing 1 - 10 of 30
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The Warcast Index : estimating economic activity without official data during the Ukraine War in 2022
Constantinescu, Mihnea; Kappner, Kalle; Szumilo, Nikodem - 2024
Persistent link: https://www.econbiz.de/10015097584
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The political effects of (mis)perceived immigration
Barilari, Francesco; Bellucci, Davide; Conzo, Pierluigi; … - 2024
Persistent link: https://www.econbiz.de/10015046699
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A Bayesian approach to modeling topic-metadata relationships
Schulze, Patrick; Wiegrebe, Simon; Thurner, Paul W.; … - In: AStA Advances in Statistical Analysis 108 (2023) 2, pp. 333-349
The objective of advanced topic modeling is not only to explore latent topical structures, but also to estimate relationships between the discovered topics and theoretically relevant metadata. Methods used to estimate such relationships must take into account that the topical structure is not...
Persistent link: https://www.econbiz.de/10015327412
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Cover Image
A Bayesian approach to modeling topic-metadata relationships
Schulze, Patrick; Wiegrebe, Simon; Thurner, Paul W.; … - In: AStA Advances in Statistical Analysis 108 (2023) 2, pp. 333-349
The objective of advanced topic modeling is not only to explore latent topical structures, but also to estimate relationships between the discovered topics and theoretically relevant metadata. Methods used to estimate such relationships must take into account that the topical structure is not...
Persistent link: https://www.econbiz.de/10015404248
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Multilingual text classification on social media data for incident alert in subway transportation network
Mehri, Banafsheh; Trépanier, Martin; Goussard, Yves - 2023
Persistent link: https://www.econbiz.de/10013539002
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The political effects of (mis)perceived immigration
Barilari, Francesco; Bellucci, Davide; Conzo, Pierluigi; … - In: Journal of economic geography 25 (2025) 4, pp. 585-605
Persistent link: https://www.econbiz.de/10015456407
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Mental health effects of COVID-19 lockdowns : a Twitter-based analysis
Colella, Sara; Dufourt, Frédéric; Hildebrand, Vincent A. - 2022
Persistent link: https://www.econbiz.de/10013342934
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Consumer coping during the COVID-19 pandemic : a perspective of fashion shopping
Han, Wenna; Li, Jitong; Xu, Yingjiao - In: Journal of fashion marketing and management 28 (2024) 6, pp. 1219-1236
Persistent link: https://www.econbiz.de/10015323681
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Consumer coping during the COVID-19 pandemic: a perspective of fashion shopping
Han, Wenna; Li, Jitong; Xu, Yingjiao - In: Journal of Fashion Marketing and Management: An … 28 (2024) 6, pp. 1219-1236
Purpose The COVID-19 pandemic has brought dramatic life changes to consumers. From the perspective of fashion shopping, this study aims to provide an understanding of how consumers have coped with the pandemic to maintain their physical and mental well-being. Design/methodology/approach...
Persistent link: https://www.econbiz.de/10015350459
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Impact of COVID-19 pandemic on ride-hailing services based on large-scale Twitter data analysis
Morshed, Syed Ahnaf; Khan, Sifat Shahriar; Tanvir, … - In: Journal of Urban Management 10 (2021) 2, pp. 155-165
Ride-hailing services have gained popularity in recent years due to attributes such as reduced travel costs, traffic congestion, and emissions. However, with the impact of COVID-19, the ride-hailing market is estimated to lose its fair share of an uprising as a transportation mode. During normal...
Persistent link: https://www.econbiz.de/10014285648
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