论文标题
你做瑜伽吗？使用社交和文本信息了解Twitter用户的类型和动机
Do You Do Yoga? Understanding Twitter Users' Types and Motivations using Social and Textual Information
论文作者
论文摘要
利用社交媒体数据了解人们的生活方式选择是一个令人兴奋的领域，需要对数据进行多览。在本文中，我们提出了一个基于神经网络与注意机制融合的联合嵌入模型，通过结合用户了解其活动和动机的社交和文本信息。我们使用Twitter的福祉相关推文，重点是“瑜伽”。我们在两个下游任务上展示了我们的模型：（i）查找用户类型，例如从业者或促销（促进瑜伽工作室/健身房），其他； （ii）寻找用户动力，即健康益处，灵性，热爱推文/转发有关瑜伽，但不要练习瑜伽。
Leveraging social media data to understand people's lifestyle choices is an exciting domain to explore but requires a multiview formulation of the data. In this paper, we propose a joint embedding model based on the fusion of neural networks with attention mechanism by incorporating social and textual information of users to understand their activities and motivations. We use well-being related tweets from Twitter, focusing on 'Yoga'. We demonstrate our model on two downstream tasks: (i) finding user type such as either practitioner or promotional (promoting yoga studio/gym), other; (ii) finding user motivation i.e. health benefit, spirituality, love to tweet/retweet about yoga but do not practice yoga.
