Identifying Prominent Life Events on Twitter
Identifying Prominent Life Events on Twitter
复制标题
识别 Twitter 上的重要生活事件
DOI：
10.1145/2815833.2815845
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Dickinson T
中科院分区：
文献类型：
--
作者：
Dickinson T
社交媒体是人们发布和分享他们生活事件的数字反映的常见场所，包括结婚，生孩子，毕业等重大事件。近年来，许多研究都集中在从Twitter中提取重大事件，如地震，风暴和洪水。然而，本文的目标是个人生活事件的自动检测，重点关注心理学家发现的人们生活中最突出的五个事件。我们定义了各种功能（用户，内容，语义和互动），以捕捉这些生活事件的特点，并提出了几种分类方法的结果，以自动识别这些事件在Twitter上。我们提出的分类方法得到的结果之间的0.84和0.92 F1-措施的不同类型的生活事件。这项工作的一个新的贡献还在于一个新的推文语料库，它已经通过使用众包进行了注释，据我们所知，它构成了第一个公开的数据集，用于自动识别Twitter上的个人生活事件。
Social media is a common place for people to post and share digital reflections of their life events, including major events such as getting married, having children, graduating, etc. Although the creation of such posts is straightforward, the identification of events on online media remains a challenge. Much research in recent years focused on extracting major events from Twitter, such as earthquakes, storms, and floods. This paper however, targets the automatic detection of personal life events, focusing on five events that psychologists found to be the most prominent in people lives. We define a variety of features (user, content, semantic and interaction) to capture the characteristics of those life events and present the results of several classification methods to automatically identify these events in Twitter. Our proposed classification methods obtain results between 0.84 and 0.92 F1-measure for the different types of life events. A novel contribution of this work also lies in a new corpus of tweets, which has been annotated by using crowdsourcing and that constitutes, to the best of our knowledge, the first publicly available dataset for the automatic identification of personal life events from Twitter.
文化生活脚本中的年龄效应。
影响因子：
2.4
作者：
Janssen,SteveMJ;Rubin,DavidC
通讯作者：
Rubin,DavidC
DOI：
--
发表时间：
2014
期刊：
Web Science Conference
影响因子：
--
作者：
Matthew Rowe;Harith Alani
通讯作者：
Harith Alani