Twitter Job/Employment Corpus

Twitter Job/Employment Corpus是由Golisano College of Computing and Information Sciences Rochester Institute of Technology创建的数据集，包含约700万条推文，其中0.2百万条与工作相关，6.8百万条非工作相关。数据集通过人类在环的监督学习框架进行标注，结合众包和专业知识，旨在提取和分析公共社交媒体中的工作相关话题。该数据集的应用领域广泛，包括公共健康、心理学、雇主分析等，旨在解决工作相关压力监测、员工满意度提升等问题。The Twitter Job/Employment Corpus is a dataset developed by the Golisano College of Computing and Information Sciences at the Rochester Institute of Technology. It contains approximately 7 million Tweets, among which 0.2 million are work-related and 6.8 million are non-work-related. Annotated via a human-in-the-loop supervised learning framework that combines crowdsourcing and professional expertise, this dataset aims to extract and analyze work-related topics from public social media. It has a wide range of application fields including public health, psychology, employer analysis and more, and is designed to address issues such as work-related stress monitoring and employee satisfaction improvement.