Training in Big Text Data (TRIBE)

我们提出了一个大文本数据（TRIBE）的工业流，高级，协作研究生培训计划。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，工业界对利用大文本问题有着浓厚的兴趣，并且非常需要接受过大文本分析技术培训的高素质人员。我们的建议是基于五个支柱：（1）结构化的课程结合必要的专门知识，包括“软技能”，在行业的需求，到一个新颖的，专业的研究生证书;（2）动手培训的形式，工业实习的学生与公司，如IBM，媒体吝啬鬼或销售力量;（3）国内和国际学生的流动和交流;（4）双语和多语言的应用和培训环境;（5）尊重隐私作为我们的学生和我们对待大数据的方法中灌输的价值观。 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，与行业相关的HQP研究生培训。该计划涉及达尔豪西大学（主要申请人），蒙特利尔大学和西蒙弗雷泽大学的三个强大的加拿大计算机科学系。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谁将满足TRIBE要求的学生在他们的博士课程的额外资格。或理科硕士培训。我们预计这将吸引更多的HQP到TRIBE。我们提供了可靠的预测强大的工业需求的TRIBE毕业生在未来几年的配置文件，定义了一个创新的课程提供技术技能，专业技能，以及工业和研究计划的组成部分。申请人代表了一支强大的团队，在创建和领导跨机构，创新的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.