Understanding the petition of citizens is the basis for improving urban governance and citizen satisfaction during urbanization. Given Beijing's rapid growth and large scale in urbanization, it represents an interesting case study to explore the petitions of citizens. In this paper, we analyze...

This research paper presents the results of a text mining analysis conducted on the quarterly monetary policy statements published by the Bank of Sierra Leone. This study examines the effectiveness and readability of monetary policy communication by the Bank of Sierra Leone. The research focuses...

The study considers the application of text mining techniques to the analysis of curricula for study programs offered by institutions of higher education. It presents a novel procedure for efficient and scalable quantitative content analysis of module handbooks using topic modeling. The proposed...

Central Bank speeches usually function as aggregators of internal quantitative and qualitative analysis of the institutions regarding the macro economy, the monetary policy and the health of the financial systems. Speeches usually function as a summary of the current status of a countries...

This paper describes the process of constructing a dataset of available online press releases related to monetary policy decisions published by central banks that have been pursuing a form of inflation targeting. A total of 3,807 documents were considered, as the review encompasses 24 central...

This paper analyses the learning curve in the emergence and development of an entrepreneurship policy in the European Union (EU) during the period 1990-2016 by identifying the key topics in the policy agenda-setting and their evolution over time within a corpus of 576 selected policy-making...

Given the research interest on Big Data in Marketing, we present a research literature analysis based on a text mining semi-automated approach with the goal of identifying the main trends in this domain. In particular, the analysis focuses on relevant terms and topics related with five...

Text mining analysis provides big opportunities for economic research. Underlying natural language processing techniques allow us to read the monthly price developments reports (MPDR) of the Central Bank of the Republic of Turkey (CBRT) and to analyse the words, to explore topics and clusters...

This paper employs text-mining techniques to analyse the communication strategy of the Central Bank of Nigeria (CBN) during the period 2004-2019. Since the policy communique released after each meeting of the CBN's monetary policy committee (MPC) represents an important tool of central bank...