Titlebook: Electronic Government and the Information Systems Perspective; 10th International C Andrea K?,Enrico Francesconi,Ismail Khalil Conference p

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Social Security Reform in Brazil: A?Twitter Sentiment Analysishms predominantly classified the tweets as “neutral”, that is, these posts do not explicitly expose their users’ opinion about the topic. Of the tweets that showed polarity, there was a dominance of posts classified as “positive”, i.e., their authors have positive feelings (support, affinity) concerning the Social Security Reform proposal.

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Using Machine Learning for Risk Classification in Brazilian Federal Voluntary Transfersmization techniques. The results achieved good success rates. Results for XGBoost using balanced data showed a recall of 89.3% and unbalanced data 87.8%. However, for unbalanced data, the AUC score was 98.1%, against 97.9% for balanced data.

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0302-9743 rspective, EGOVIS 2021, held in September 2021 as part of the DEXA 2021 conference. The event was held virtually due to COVID-19 pandemic.. The 13 full papers presented were carefully reviewed and selected from 21 submissions and focus on information systems and ICT aspects of e-government. The pape

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Margaret C. Jacob,Catherine Secretanpleteness, correctness, and freshness of the intercepted contents should be given. Moreover, contents often have to be transferred from law enforcement agencies to Courts or delivered to the defence, also partially. In this work, we design a complex architecture able to support effectively the above needs.

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978-3-030-86610-5Springer Nature Switzerland AG 2021

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Electronic Government and the Information Systems Perspective978-3-030-86611-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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https://doi.org/10.1007/978-3-030-86611-2artificial intelligence; communication systems; pricacy, trust, security; computer networks; computer pr