The Islamic banking system is gaining momentum. Many international conventional banks have started to open branches which operate in accordance with the Islamic Sharia'h principles in some Islamic countries. The Islamic banking system is expected to face strong competition not only from the Islamic banks but also from well-established conventional banks offering Islamic products and services. In this study, an attempt is made to assess the degree of customer awareness and satisfaction towards an Islamic bank in Jordan. A sample 206 respondents took part in this study. The analysis of their responses revealed a certain degree of satisfaction of many of the Islamic bank's facilities and products. The respondents expressed their dissatisfaction with some of the Islamic bank's services. Although the respondents indicated that they are aware of a number of specific Islamic financial products like Murabaha Musharaka and Mudaraba, they show that they do not deal with them.The authors are grateful to two anonymous referees and editor for their helpful comments and suggestions on earlier drafts of the paper.
Argumentation mining is considered as a key technology for future search engines and automated decision making. In such applications, argumentative text segments have to be mined from large and diverse document collections. However, most existing argumentation mining approaches tackle the classification of argumentativeness only for a few manually annotated documents from narrow domains and registers. This limits their practical applicability. We hence propose a distant supervision approach that acquires argumentative text segments automatically from online debate portals. Experiments across domains and registers show that training on such a corpus improves the effectiveness and robustness of mining argumentative text. We freely provide the underlying corpus for research.
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