论文标题
机器学习评估在医学论坛中的回声室效应
Machine Learning Evaluation of the Echo-Chamber Effect in Medical Forums
论文作者
论文摘要
我们建议对在线论坛进行回声室效应评估。论坛读者认为的情感是分析的核心；完整的信息是研究的单位。我们构建14个型号，并将其应用于在线医学论坛上收集的讨论。我们使用四个多类情感分类应用程序和两种机器学习算法来评估评估模型的能力。
We propose the Echo-Chamber Effect assessment of an online forum. Sentiments perceived by the forum readers are at the core of the analysis; a complete message is the unit of the study. We build 14 models and apply those to represent discussions gathered from an online medical forum. We use four multi-class sentiment classification applications and two Machine Learning algorithms to evaluate prowess of the assessment models.
