Method for improvement of transparency: use of text mining techniques for reclassification of governmental expenditures records in Brazil

Almeida, Gustavo de Oliveira; Revoredo, Kate; Cappelli, Cláudia; Maciél, Cristiano

doi:10.1504/ijbidm.2021.112989

Cited by 4 publications

(4 citation statements)

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“…Ferencek: Impact Assesment of Open Government Data 781 2021). Classification and clustering algorithms, regression models and feature selection were used to predict taxpayer groups (Cha, 2020), to formulate an environmental management strategy (Kang et al, 2021), to classify government expenditure records (De Oliviera, 2021) or to make analysis of open data judgments (Metsker, 2019). For this research, knowledge extraction would be made by using Natural Language Processing (NLP).…”

Section: Preliminary/expected Results and Future Developmentmentioning

confidence: 99%

User Information Satisfaction Among Female Refugees and Immigrants as Assessed by the Level of Information Literacy on Social Media

Kainat¹,

Zolbin²,

Widén³

et al. 2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

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Female refugees and immigrants face various challenges in accessing, using, and sharing information during their integration process. In the context of COVID-19, this study aims to identify the user information satisfaction of female refugees and immigrants living in Finland and Sweden. Using a dataset comprising 232 respondents, the research model was examined through structural equation modelling. The results show that information overload in social media streams has an impact on information fatigue and consequently on the information avoidance behaviour of the target group. The results also show that information literacy helps to avoid social media information overload, in addition to its direct effect on user information satisfaction. Being familiar with the perceived COVID-19 challenges also positively impacts user information satisfaction. In view of the fact that European countries are receiving an everincreasing number of refugees and immigrants, the findings of this study provide both theoretical and practical contributions.

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Section: Preliminary/expected Results and Future Developmentmentioning

confidence: 99%

User Information Satisfaction Among Female Refugees and Immigrants as Assessed by the Level of Information Literacy on Social Media

Kainat¹,

Zolbin²,

Widén³

et al. 2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

View full text Add to dashboard Cite

show abstract

Section: Preliminary/expected Results and Future Developmentmentioning

confidence: 99%

A Novel Combined Business Recommender System model Using Customer Investment Service Feedback

Asemi¹,

Kő²

2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

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t The aim of the study was to present a new business model of an investment recommender system using customer investment service feedback based on fuzzy neural inference solutions and customized investment services. The model designed to support the system’s process in investment companies. The type of research was qualitative and used of exploratory study and extensive library research. The model divided into two main parts using customer investment service feedback: data analysis and decision making. In this model, seven group factors proposed to implement the model of the proposed system of investment jobs through the potential investors. Machine learning use in this process and next ANFIS, which is an implementation of the neural art community uses the establishment of fuzzy logic judgment directly forward. The system act like a system consultant, studies the investor's past behavior and recommends relevant and accurate recommendations to the user for most appropriate investment.

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Section: Preliminary/expected Results and Future Developmentmentioning

confidence: 99%

Demographic Differences in the Effectiveness of a Physical Activity Application to Promote Physical Activity: Study Among Aged People

Kari¹,

Makkonen²,

Frank³

2021

34th Bled eConference Digital Support From Crisis to Progressive Change: Conference Proceedings

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The global population is ageing and simultaneously the life expectancy at older ages is improving. To support healthy and active aging, it is imperative to find solutions to support physical activity (PA) in older age. Digital wellness technologies are a potential solution, but in order for such technologies to be successful, research is needed to gain a better understanding on their use and effectiveness among aged people. To address this need, this study investigated the effectiveness of a physical activity application to promote PA behavior among aged people of different demographics (gender, age, education, marital status). PA levels were measured before taking the application into use and after 12 months of use. The results suggest that a physical activity application can be effective in promoting PA behavior among aged people as there was a notable and a statistically significant increase in walking and total PA levels between baseline and 12-month follow-up. Regarding the demographic differences, there were very few differences in the changes in PA levels between different demographics, suggesting the effectiveness is not subject to the demographic background of the user.

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Method for improvement of transparency: use of text mining techniques for reclassification of governmental expenditures records in Brazil

Cited by 4 publications

References 0 publications

User Information Satisfaction Among Female Refugees and Immigrants as Assessed by the Level of Information Literacy on Social Media

User Information Satisfaction Among Female Refugees and Immigrants as Assessed by the Level of Information Literacy on Social Media

A Novel Combined Business Recommender System model Using Customer Investment Service Feedback

Demographic Differences in the Effectiveness of a Physical Activity Application to Promote Physical Activity: Study Among Aged People

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