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The Text Mining of Public Policy Documents in Response to COVID-19: A Comparison of the United Arab Emirates and the Kingdom of Saudi Arabia

100%

Dwivedi D. N. , Anand A.

Zarządzanie Publiczne / Public Governance

2021

nr 1(55)

8-22

Objective: The objective of the paper is to analyse publicly available government policy documents of the United Arab Emirates (UAE) and the Kingdom of Saudi Arabia (KSA) in order to identify key topics and themes for these two countries in relation to the COVID-19 response. Research Design & Methods: In view of the availability of large volumes of documents as well as advancement in computing system, text mining has emerged as a significant tool to analyse large volumes of unstructured data. For this paper, we have applied latent semantic analysis and Singular Value Decomposition (SVD) for text clustering. Findings: The results of the analysis of terms indicate similarities of key themes around health and pandemic for the UAE and the KSA. However, the results of text clustering indicate that focus of the UAE’ documents in on ‘Digital’-related terms, whereas for the KSA, it is around ‘International Travel’-related terms. Further analysis of topic modelling demonstrates that topics such as ‘Vaccine Trial’, ‘Economic Recovery’, ‘Health Ministry’, and ‘Digital Platforms’ are common across both the UAE and the KSA. Contribution / Value Added: The study contributes to text-mining literature by providing a framework for analyzing public policy documents at the country level. This can help to understand the key themes in policies of the governments and can potentially aid the identification of the success and failure of various policy measures in certain cases by means of comparing the outcomes. Implications / Recommendations: The results of this study clearly showed that text clustering of unstructured data such as policy documents could be very useful for understanding the themes and orientation topics of the policies.

A chi assomiglia Elena Ferrante? Un profilo stilometrico aggiornato

67%

Cortelazzo M. A. , Tuzzi A.

Italica Wratislaviensia

2020

nr 11.1

123-141

Based on a corpus including 150 novels by 40 authors, a stylometric survey was conducted to assess which modern authors were similar to Elena Ferrante, the pen name used for eight novels, including "My Brilliant Friend" (Tuzzi & Cortelazzo 2018a and 2018b). The survey proved that Elena Ferrante’s writing style is remarkably different from that of the other main contemporary Italian novelists with the notable exception of Domenico Starnone. Follow-up studies (Cortelazzo, Mikros & Tuzzi 2018 and another under way) show that non-fiction works signed by Elena Ferrante may be attributed to different authors, i.e., Anita Raja, Starnone again, and a collective author including the staff of the E/O publishing house. This study complements the results obtained by previous research by assessing Elena Ferrante’s role in modern Italian fiction following the publication of her latest novel, "The Lying Life of Adults". In addition, the analysis of her similarities to Domenico Starnone was enhanced by means of a larger corpus of his novels, thus corroborating the outcome of previous research.

Sulla base di un corpus di 150 romanzi di 40 autori, abbiamo condotto un’indagine stilometrica, per valutare quali autori contemporanei risultassero più vicini a Elena Ferrante, pseudonimo con cui sono stati firmati otto romanzi, tra cui "l’Amica geniale" (Tuzzi & Cortelazzo 2018a e 2018b). L’indagine ha dimostrato che lo stile di scrittura di Elena Ferrante è notevolmente diverso da quello degli altri principali romanzieri italiani contemporanei, con la sola eccezione di Domenico Starnone. Studi successivi (Cortelazzo, Mikros & Tuzzi 2018 e in preparazione) hanno mostrato che, invece, le opere non letterarie firmate da Elena Ferrante possono essere attribuite ad autori diversi, tra i quali Anita Raja, di nuovo Starnone e autore collettivo costituito dallo staff della casa editrice E / O. Questo studio integra i risultati delle ricerche precedenti, aggiornando la collocazione di Elena Ferrante nel panorama contemporaneo, in seguito all’uscita del suo ultimo romanzo ("La vita bugiarda degli adulti") e affinando lo studio delle similarità con Domenico Starnone, utilizzando un corpus più ampio di opere di questo autore. Risultano rafforzati i risultati delle ricerche precedenti.

Analysis of methods and means of text mining

59%

Rybchak Z. , Basystiuk O.

ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes

2017

tom Vol. 6, No 2

73--78

In Big Data era when data volume doubled every year analyzing of all this data become really complicated task, so in this case text mining systems, techniques and tools become main instrument of analyzing tones and tones of information, selecting that information that suit the best for your needs and just help save your time for more interesting thing. The main aims of this article are explain basic principles of this field and overview some interesting technologies that nowadays are widely used in text mining.