Training in Big Text Data (TRIBE)

我们提出了一个工业流，先进的，协作的大文本数据（TRIBE）研究生培训计划。一方面，大文本代表了大数据方面的额外挑战，因为信息是非结构化的，并且以（通常是简化或不正确的）自然语言呈现。另一方面，大文本在商业、科学和日常生活中无处不在——据估计，80%的大数据实际上是文本数据。因此，在开发大文本问题方面有很强的工业兴趣，并且需要在大文本分析技术方面受过培训的高素质人员。我们的建议基于五个支柱：(1)一个结构化的课程，将行业所需的必要知识，包括“软技能”，结合到一个新颖的，专业的研究生证书中；(2)学生在IBM、Media吝啬鬼或Sales Force等公司实习，进行实践培训；(3)国内和国际学生流动与交流；(4)双语和多语应用和培训环境；(5)将尊重隐私作为一种价值观灌输给我们的学生和我们的大数据方法。这些支柱的结合将在加拿大和全球未满足的高需求领域提供独特的、与工业相关的HQP研究生培训。该项目涉及三个强大的加拿大计算机科学系，分别是达尔豪斯大学（Dalhousie University）（主要申请者）、蒙特卡罗大学（universit<e:1> de montrachim）和西蒙弗雷泽大学（Simon Fraser University）。完成所有课程和实习要求的学生将获得大文本分析研究生证书。研究生证书将是授予在博士或硕士培训过程中满足TRIBE要求的学生的额外资格。我们希望这将吸引更多的HQP到TRIBE。我们为未来几年TRIBE毕业生的强劲工业需求提供可靠的预测，定义创新课程，提供技术技能，专业技能以及该计划的工业和研究组成部分。申请人代表了一个强大的团队，在创建和领导跨机构创新研究生学位方面具有丰富的经验。****

We propose an industrial stream, advanced, collaborative graduate Training program in Big Text Data (TRIBE). On the one hand, Big Text represents additional challenges with respect to Big Data, as the information is unstructured and presented in (often simplified or incorrect) natural language. On the other hand, Big Text is ubiquitous in business, science, and everyday life - estimates indicate that 80% of Big Data is in fact text data. There is therefore a strong industrial interest in exploiting Big Text problems, and a significant need for Highly Qualified Personnel trained in Big Text Analytics techniques. Our proposal is based on five pillars: (1) a structured curriculum combining the necessary know-how, including "soft skills", in demand by industry, into a novel, specialized Graduate Certificate; (2) hands-on training in the form of an industrial internship for the students with companies such as IBM, Media Miser or Sales Force; (3) national and international student mobility and exchange; (4) a bilingual and multi-lingual application and training environment; (5) respect for privacy as a value instilled in our students and in our approach to Big Data. The combination of these pillars will provide unique, industrially-relevant graduate training of HQP in an area of unmet high demand in Canada and globally. The program involves three strong Canadian Computer Science departments at Dalhousie University (the lead applicant), Université de Montréal and Simon Fraser University. Students who will fulfil all the course and internship requirements will obtain a Graduate Certificate in Big Text Analytics. The Graduate Certificate will be an additional qualification granted to students who will satisfy the TRIBE requirements in the course of their Ph.D. or M.Sc. training. We expect this will attract additional HQP to TRIBE. We provide credible predictions of the strong industrial need for the profile of TRIBE graduates in the years to come, define an innovative curriculum providing technical skills, professional skills, and industrial and research components of the program. The applicants represent a strong team with significant experience in creating and leading inter-institutional, innovative graduate degrees.****