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Predicting the Outcome of H-1B Visa Eligibility

机译:预测H-1B签证资格的结果

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摘要

Lately, there has been a lot of debates and discussions going on about the H-1B visa procedures in the United States. Every year, millions of students and professionals from all across the globe migrate to the USA for higher education or better job opportunities. However, the recent changes and restrictions in the H-1B visa procedure are making it tough for the international applicants to make a firm decision of wishing to work in the United States with this sense of uncertainty. While there are too many papers and journals on the study of the immigration process at the United States or the H-1B visas, there is almost no research carried on this sector in the field of computer science. The paper aims to address this issue of H-1B visa eligibility outcome using different classification models and optimize them for better results.
机译:最近,有很多关于美国H-1B签证程序的辩论和讨论。每年,全球各地的数百万学生和专业人士迁移到美国,以获得高等教育或更好的工作机会。然而,最近的H-1B签证程序的变化和限制使得国际申请人难以使希望在美国的不确定性感复工作的坚定决定。虽然在美国或H-1B签证的移民程序研究中有太多的论文和期刊,但在计算机科学领域几乎没有研究该部门。本文旨在使用不同的分类模型解决H-1B签证资格结果的这一问题,并优化它们以获得更好的结果。

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