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Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns

Dickinson, Thomas; Fernandez, Miriam; Thomas, Lisa A.; Mulholland, Paul; Briggs, Pam and Alani, Harith (2016). Identifying Important Life Events from Twitter Using Semantic and Syntactic Patterns. In: WWW/Internet Conference proceedings 2016, IADIS Press, pp. 143–150.

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Abstract

Identifying global events from social media has been the focus of much research in recent years. However, the identification of personal life events poses new requirements and challenges that have received relatively little research attention. In this paper we explore a new approach for life event identification, where we expand social media posts into both semantic, and syntactic networks of content. Frequent graph patterns are mined from these networks and used as features to enrich life-event classifiers. Results show that our approach significantly outperforms the best performing baseline in accuracy (by 4.48% points) and F-measure (by 4.54% points) when used to identify five major life events identified from the psychology literature: Getting Married, Having Children, Death of a Parent, Starting School, and Falling in Love. In addition, our results show that, while semantic graphs are effective at discriminating the theme of the post (e.g. the topic of marriage), syntactic graphs help identify whether the post describes a personal event (e.g. someone getting married).

Item Type: Conference or Workshop Item
ISBN: 989-8533-57-9, 978-989-8533-57-9
Project Funding Details:
Funded Project NameProject IDFunding Body
Reel Lives: personal documentaries constructed from digital data. (Q-13-023-HA)EP/L004062/1EPSRC (Engineering and Physical Sciences Research Council)
Keywords: semantic networks; event detection; frequent pattern mining; classification; social media
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Policing Research and Learning (CPRL)
Centre for Research in Computing (CRC)
Related URLs:
Item ID: 48679
Depositing User: Harith Alani
Date Deposited: 06 Mar 2017 16:53
Last Modified: 01 Nov 2017 09:39
URI: http://oro.open.ac.uk/id/eprint/48679
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