首页> 外文会议>Annual meeting of the Association for Computational Linguistics;ACL 2011 >Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations
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Age Prediction in Blogs: A Study of Style, Content, and Online Behavior in Pre- and Post-Social Media Generations

机译:博客中的年龄预测:前社交媒体时代和后社交媒体时代的风格,内容和在线行为的研究

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We investigate whether wording, stylistic choices, and online behavior can be used to predict the age category of blog authors. Our hypothesis is that significant changes in writing style distinguish pre-social media bloggers from post-social media blog-gers. Through experimentation with a range of years, we found that the birth dates of students in college at the time when social media such as AIM, SMS text messaging, MySpace and Facebook first became popular, enable accurate age prediction. We also show that internet writing characteristics are important features for age prediction, but that lexical content is also needed to produce significantly more accurate results. Our best results allow for 81.57% accuracy.
机译:我们调查措辞,风格选择和在线行为是否可用于预测博客作者的年龄类别。我们的假设是,写作风格的重大变化将社交媒体前博客作者与社交媒体后博客作者区分开。通过多年的试验,我们发现,在AIM,SMS短信,MySpace和Facebook等社交媒体首次流行时,大学生的出生日期可以准确预测年龄。我们还表明,互联网写作特征是年龄预测的重要特征,但还需要词汇内容才能产生更加准确的结果。我们最好的结果可以达到81.57%的准确度。

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