3 resultados para Social BI, Social Business Intelligence, Sentiment Analysis, Opinion Mining.

em University of Queensland eSpace - Australia


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Objective: To describe the characteristics [of self-described 'occasional' and 'social' Australian smokers. Design: Analysis of a national cross-sectional survey of smoking patterns, conducted in Australia in 2004. Setting and participants: Australian adults in 2004 who responded to a survey question about self-described smoking status. Main outcome measures: Demographic characteristics, patterns of alcohol and tobacco use, smoking cessation attempts in the past year, and interest in cessation. Results: Smokers who described themselves as 'occasional' and 'social' smokers comprised 29% of all smokers. A significant proportion of occasional and social smokers had been daily smokers, but the majority either believed that they had 'already quit' or had no intention of quitting smoking. Conclusions: Self-ascribed occasional and social smokers potentially represent an important target group for cessation. These types of smokers may be more resistant to public health messages regarding cessation because they do not view their smoking behaviour as presenting a high risk.

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Foreign exchange trading has emerged in recent times as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process is very helpful. In this paper, we try to create such a system with a genetic algorithm engine to emulate trader behaviour on the foreign exchange market and to find the most profitable trading strategy.

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There has been a long dependency on credit by Indonesian farmers as a result of the lack of capital to apply proper farming practices. This paper describes the farming activities applied by agricultural credit users in Central Lombok, Indonesia. A survey was conducted during July 2001- March 2002 of 65 farmers making use of government or private credit in three villages within the Regency. Data from the farmers were collected using face-to-face, semi-structured interviews. Survey results indicated that on average, farmers had some 20 years experience of farming, were aged 40 years, but lacked of formal education. Their main asset was cropping land with average landholding of 0.69 ha. As a consequence of their capital constraints, farmers were commonly making use of credit to finance their farming activities, including both production of rice as the main crop and secondary crops. Farmers generally applied less than recommended amount of inputs in their farming practices, since the amount of credit they obtained was limited. As a result, their farms become less productive and their repayment capability of loans diminished. Of 65 farmers interviewed, 54 could earn extra income by engaging in a variety of non-farm activities, which contributed on average some 36% to family incomes of over Rp 5 million (A$ 1 thousand). The average credit repayment rate made by agricultural producers was 60%. The repayment made did not always reflect farm production capacity, being sometimes supported by other borrowings. The greater role of credit is not in increasing agricultural production or improving farmers’ income, but in helping them to sustain farm production and their living. Farmers need a bigger amount of credit to make an impact on their livelihood. This should be accompanied by extension services for farmers to enable better use of credit and to change their attitude towards it. As well, farmers require to be equipped with technical and market skills to run a business. Interdisciplinarity, holistic analysis, and an expansion of traditional ‘agricultural’ interests to embrace the span of interests included in rural livelihood, are each critical features of revision of the existing system.