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Dominik Molitor, Wullianallur Raghupathi, Aditya Saharia and Viju Raghupathi
While data breaches are a frequent and universal phenomenon, the characteristics and dimensions of data breaches are unexplored. In this novel exploratory research, we apply machine learning (ML) and text analytics to a comprehensive collection of data b...
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April Edwards, MaryLyn Sullivan, Ezrah Itkowsky and Dana Weinberg
As the amount of textual data available on the Internet grows substantially each year, there is a need for tools to assist with exploratory data analysis. Furthermore, to democratize the process of text analytics, tools must be usable for those with a no...
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Jim Samuel, G. G. Md. Nawaz Ali, Md. Mokhlesur Rahman, Ek Esawi and Yana Samuel
Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fueled by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand COVID-19?...
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Andrew S. Mitchell
Sustainability transition projects (STPs) employ specialist knowledge and learning to lever changes for the communities with which they engage. Research into these forms of organizations often focuses on engagement practices and their relative success or...
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Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani and Mohammad Reza Yeganegi
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data. This study seeks to ...
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John Haggerty,Sheryllynne Haggerty
Historians have increasingly been using network and narrative analysis as a means by which to explore their data. By doing so, they are able to explore how actors of interest used their relationships to undertake business and economic endeavors, and how,...
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Oleg Grinko,Vasily Kupriyanovsky,Oleg Pokusaev,Yuri Volokitin,Igor Ponkin,Dmitry Namiot,Alena Redkina
Pág. 65 - 84
This article continues the series of papers on the use of formal ontologies. Today, in the overwhelming majority of cases, much of the world's information exists in textual form: business documents, etc. It was in this historical form that a person kept ...
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Vered Silber-Varod, Yoram Eshet-Alkalai, Nitza Geri
Pág. 82 - 98
This study examines the potential of big data discourse analysis (i.e., culturomics) to produce valuable knowledge, and suggests a mixed methods model for improving the effectiveness of culturomics. We argue that the importance and magnitude of using qua...
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Jonathon S. Hare, David P. Dupplaw, Paul H. Lewis, Wendy Hall and Kirk Martinez
The data contained on the web and the social web are inherently multimedia and consist of a mixture of textual, visual and audio modalities. Community memories embodied on the web and social web contain a rich mixture of data from these modalities. In ma...
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