Select Language

AI社区

公开数据集

标有年龄和性别的博客文章

标有年龄和性别的博客文章

750.6M
240 浏览
0 喜欢
1 次下载
0 条讨论
Online Communities,Text Data Classification

数据结构 ? 750.6M

    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

    Context Adapted from [this][1] dataset. Translated files from XML to JSON and reorganized. Content Contains 681,288 individual blog posts between the training and testing sets. Each blog post is tagged with the poster's age and gender. All posts are from August 2004 or earlier. There are an equal number of male and female posters for each age group (13-17, 23-27, 33-48). Quantities of each specific ages within those groups can be found [here][2]. Free to use for non-commercial use. Acknowledgements Thanks to the original creators of this dataset. Citation for the original research that produced and used this dataset: J. Schler, M. Koppel, S. Argamon and J. Pennebaker (2006). Effects of Age and Gender on Blogging in Proceedings of 2006 AAAI Spring Symposium on Computational Approaches for Analyzing Weblogs. ([pdf][3]) Inspiration I will be using this data to train models to predict what age group blog posts belong to. [1]: http://u.cs.biu.ac.il/~koppel/BlogCorpus.htm [2]: https://docs.google.com/spreadsheets/d/112hNOV0JWkIIOsfRepIMd8ihS752gKhxGPHdlMCl0K8/edit?usp=sharing [3]: http://u.cs.biu.ac.il/~schlerj/schler_springsymp06.pdf
    ×

    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?
    • 240浏览
    • 1下载
    • 0点赞
    • 收藏
    • 分享