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Enhancing the government accounting information systems using social media information: An application of text mining and machine learning |
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| Huijue Kelly Duan, Miklos A. Vasarhelyi, Mauricio Codesso, Zamil Alzamil |
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Understanding internal migration in the UK before and during the COVID-19 pandemic using twitter data |
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Constructing Mobile Crowdsourced COVID-19 Vulnerability Map With Geo-Indistinguishability |
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| Su Golder, Karen O'Connor, Yunwen Wang, Robin Stevens, Graciela Gonzalez-Hernandez |
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| Mengyue Yuan, Tong Liu, Chao Yang |
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Capturing Twitter Negativity Pre- vs. Mid-COVID-19 Pandemic: An LDA Application on London Public Transport System |
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| Sara Martínez Cardama, Fátima García-López |
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| Andy Wai Kan Yeung,Maria Kletecka-Pulker,Fabian Eibensteiner,Petra Plunger,Sabine Völkl-Kernstock,Harald Willschke,Atanas G. Atanasov |
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| Alex Emilio Fischer,Tanya Van Tonder,Siphamandla B Gumede,Samanta T Lalla-Edward |
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Analysing discourse around COVID-19 in the Australian Twittersphere: A real-time corpus-based analysis |
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| Martin Schweinberger, Michael Haugh, Sam Hames |
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Random-Forest-Bagging Broad Learning System With Applications for COVID-19 Pandemic |
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| Choujun Zhan, Yufan Zheng, Haijun Zhang, Quansi Wen |
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| Qianlong Wang, Yifan Guo, Tianxi Ji, Xufei Wang, Bingfang Hu, Pan Li |
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Identification of affective valence of Twitter generated sentiments during the COVID-19 outbreak |
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A systematic review on AI/ML approaches against COVID-19 outbreak |
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Investigating Public Discourses Around Gender and COVID-19: a Social Media Analysis of Twitter Data |
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| Ahmed Al-Rawi,Karen Grepin,Xiaosu Li,Rosemary Morgan,Clare Wenham,Julia Smith |
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The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges |
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| Amir Ahmad,Sunita Garhwal,Santosh Kumar Ray,Gagan Kumar,Sharaf Jameel Malebary,Omar Mohammed Barukab |
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An Improved K-Means Algorithm Based on Fuzzy Metrics |
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| Sara Martínez-Cardama,Ana R. Pacios |
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An Overview of Social Media Apps and their Potential Role in Geospatial Research |
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