Select Language

AI社区

公开数据集

员工评价的主题建模

员工评价的主题建模

0.61M
228 浏览
0 喜欢
0 次下载
0 条讨论
Business,NLP,Ratings and Reviews,Deep Learning,Jobs and Career,Subject Classification

数据结构 ? 0.61M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Attracting talent in today’s hiring climate is more complicated than in past generations. Recruiting is especially tricky for industries not thought of as technology-oriented, like finance or healthcare. Companies must stay dynamic in their approach, adjusting their focus to not only offer a position but a way of life. You need to present ways to use data provided in reviews to glean information employers can use to address or even change their priorities to meet the demands of an ever-changing job market. In this research, we want to know if company reviews hold any relevant information in recruiting talent. Content Indeed.com has categorized reviews by Work-Life Balance, Pay & Benefits, Job Security & Advancement, Management, and Culture. The focus was on obtaining the reviews provided by all employees around the world for the companies we have selected based on the top 10 most popular industries as of 2019(Companies Overview). At the time the data were collected on April, 2020, there were 2587686 reviews that posted between 2011 and 2020 were parsed and downloaded. The data extraction strategy also focused on parsing and collecting other variables about each review (e.g. overall rating, review title, employee position title, employee status(current or former), location, date of review, pros, cons and number of people that found review is useful or not.), which ended up being helpful in the following analysis. Acknowledgements Especial thank to Chris Ballenger, Chad Madding and Ashwin Thota
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 228浏览
    • 0下载
    • 0点赞
    • 收藏
    • 分享