Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67168
Title: Emotion cause extraction, a challenging task with corpus construction
Authors: Gui, L
Xu, R
Lu, Q 
Wu, D
Zhou, Y
Issue Date: 2016
Publisher: Springer
Source: Communications in computer and information science, 2016, v. 669, p. 98-109 How to cite?
Journal: Communications in computer and information science 
Abstract: In this paper, we present a new challenging task for emotion analysis called emotion cause extraction. In this task, we do not need to identify the emotion category or emotion component of text. We focus on the emotion cause, a.k.a the reason or stimulant of an emotion. Since there is no open dataset available, the lack of annotated resources has limited the research in this area. Thus, we first built an annotated dataset for this task using SINA city news which follows the scheme of W3C Emotion Markup Language. We then present an emotion cause detection method using event extraction where a one-hot representation method is using to represent events in text. Because traditional event representation method does not consider the emotion category caused by the event, we modified the definition of event with a more reasonable improvement. Even with a limited training set, we can still extract sufficient features for analysis. Evaluations show that our approach achieves 7.68% higher F-measure than other reported methods. The contributions of our work include both resources and algorithm development.
Description: 5th National Conference on Social Media Processing, SMP 2016, Nanchang, China, 29-30 October 2016
URI: http://hdl.handle.net/10397/67168
ISBN: 9789811029929
ISSN: 1865-0929
DOI: 10.1007/978-981-10-2993-6_8
Appears in Collections:Conference Paper

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