论文标题
个人风度：一种基于YouTube的新型语料库，用于意大利语的人格预测
Personal-ITY: A Novel YouTube-based Corpus for Personality Prediction in Italian
论文作者
论文摘要
我们为意大利人的人格预测提供了一种新颖的语料库，与以前可用的资源相比，包含更多的作者和不同的类型。该语料库正在利用遥远的监督，将Myers-Briggs类型指标（MBTI）标签分配给YouTube注释，并可以进行各种实验。我们报告有关个人性的初步实验，该实验可以作为未来工作的基准，表明某些类型比其他类型更容易预测，并讨论了跨数据库预测的特权。
We present a novel corpus for personality prediction in Italian, containing a larger number of authors and a different genre compared to previously available resources. The corpus is built exploiting Distant Supervision, assigning Myers-Briggs Type Indicator (MBTI) labels to YouTube comments, and can lend itself to a variety of experiments. We report on preliminary experiments on Personal-ITY, which can serve as a baseline for future work, showing that some types are easier to predict than others, and discussing the perks of cross-dataset prediction.
