Report NEP-BIG-2022-06-20

This is the archive for NEP-BIG, a report on new working papers in the area of Big Data. Tom Coupé issued this report. It is usually issued weekly.

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Other reports in NEP-BIG

The following items were announced in this report:

• Chenrui Zhang, 2022. "Deep learning based Chinese text sentiment mining and stock market correlation research," Papers 2205.04743, arXiv.org.
• Sonan Memon, 2021. "Machine Learning for Economists: An Introduction," PIDE Knowledge Brief 2021:33, Pakistan Institute of Development Economics.
• Margherita Doria & Elisa Luciano & Patrizia Semeraro, 2022. "Machine learning techniques in joint default assessment," Papers 2205.01524, arXiv.org, revised Sep 2023.
• MARTINEZ PLUMED Fernando & CABALLERO BENÍTEZ Fernando & CASTELLANO FALCÓN David & FERNANDEZ LLORCA David & GOMEZ Emilia & HUPONT TORRES Isabelle & MERINO Luis & MONSERRAT Carlos & HERNÁNDEZ ORALLO Jos, 2022. "AI Watch: Revisiting Technology Readiness Levels for relevant Artificial Intelligence technologies," JRC Research Reports JRC129399, Joint Research Centre.
• Andrew Caplin & Daniel Martin & Philip Marx, 2022. "Calibrating for Class Weights by Modeling Machine Learning," Papers 2205.04613, arXiv.org, revised Jul 2022.
• Yong Xie & Dakuo Wang & Pin-Yu Chen & Jinjun Xiong & Sijia Liu & Sanmi Koyejo, 2022. "A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Predictions," Papers 2205.01094, arXiv.org, revised Jul 2022.
• Ryan Defina, 2021. "Machine Learning Methods: Potential for Deposit Insurance," IADI Fintech Briefs 3, International Association of Deposit Insurers.
• Reisenhofer, Rafael & Bayer, Xandro & Hautsch, Nikolaus, 2022. "HARNet: A convolutional neural network for realized volatility forecasting," CFS Working Paper Series 680, Center for Financial Studies (CFS).
• Sun, Maoran & Han, Changyu & Nie, Quan & Xu, Jingying & Zhang, Fan & Zhao, Qunshan, 2022. "Understanding Building Energy Efficiency with Administrative and Emerging Urban Big Data by Deep Learning in Glasgow," OSF Preprints g8p4f, Center for Open Science.
• Li, Yanmin & Zhong, Ziqi & Zhang, Fengrui & Zhao, Xinjie, 2022. "Artificial intelligence-based human–computer interaction technology applied in consumer behavior analysis and experiential education," LSE Research Online Documents on Economics 115047, London School of Economics and Political Science, LSE Library.
• Lyonnet, Victor & Stern, Lea H., 2022. "Venture Capital (Mis)allocation in the Age of AI," Working Paper Series 2022-02, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
• Massaro, Alessandro & Giardinelli, Vito O. M. & Cosoli, Gabriele & Magaletti, Nicola & Leogrande, Angelo, 2022. "The Prediction of Hypertension Risk," MPRA Paper 113242, University Library of Munich, Germany.
• Bratanova, Alexandra & Pham, Hien & Mason, Claire & Hajkowicz, Stefan & Naughtin, Claire & Schleiger, Emma & Sanderson, Conrad & Chen, Caron & Karimi, Sarvnaz, 2022. "Differentiating artificial intelligence capability clusters in Australia," MPRA Paper 113237, University Library of Munich, Germany.
• Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "Innovative SMEs Collaborating with Others in Europe," MPRA Paper 113008, University Library of Munich, Germany.
• Martin Beraja & Andrew Kao & David Y. Yang & Noam Yuchtman, 2021. "AI-tocracy," CEP Discussion Papers dp1811, Centre for Economic Performance, LSE.
• Will, Paris & Krpan, Dario & Lordan, Grace, 2023. "People versus machines: introducing the HIRE framework," LSE Research Online Documents on Economics 115006, London School of Economics and Political Science, LSE Library.
• Josten, Cecily & Lordan, Grace, 2022. "Automation and the changing nature of work," LSE Research Online Documents on Economics 115117, London School of Economics and Political Science, LSE Library.
• van Loon, Austin, 2022. "Three Families of Automated Text Analysis," SocArXiv htnej, Center for Open Science.
• Nomaler, Önder & Verspagen, Bart, 2022. "The canonical correlation complexity method," MERIT Working Papers 2022-015, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
• Chenrui Zhang & Xinyi Wu & Hailu Deng & Huiwei Zhang, 2022. "A time-varying study of Chinese investor sentiment, stock market liquidity and volatility: Based on deep learning BERT model and TVP-VAR model," Papers 2205.05719, arXiv.org, revised May 2022.
• Tatjana Evas & Maikki Sipinen & Martin Ulbrich & Alessandro Dalla Benetta & Maciej Sobolewski & Daniel Nepelski, 2022. "AI Watch: Estimating AI investments in the European Union," JRC Research Reports JRC129174, Joint Research Centre.
• Anton Korinek & Avital Balwit, 2022. "Aligned with Whom? Direct and Social Goals for AI Systems," NBER Working Papers 30017, National Bureau of Economic Research, Inc.
• Margaryta Klymak & Stuart Baumann, 2022. "Paying over the odds at the end of the fiscal year. Evidence from Ukraine," Economics Series Working Papers 968, University of Oxford, Department of Economics.
• Emilio Soria-Olivas & Jos'e E. Vila Gisbert & Regino Barranquero Carde~nosa & Yolanda Gomez, 2022. "Integration of Behavioral Economic Models to Optimize ML performance and interpretability: a sandbox example," Papers 2205.01387, arXiv.org.
• Helena Chuliá & Ignacio Garrón & Jorge M. Uribe, 2022. ""Daily Growth at Risk: financial or real drivers? The answer is not always the same"," IREA Working Papers 202208, University of Barcelona, Research Institute of Applied Economics, revised Jun 2022.