English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27314/39158
Visitors : 2471679      Online Users : 77
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43815

Title: Event-level textual emotion sensing based on common action distributions between event participants
Authors: Cheng-Yu Lu
William Wei-Yuan Hsu
Jan-Ming Ho
Contributors: 國立臺灣海洋大學:資訊工程學系
NTOU:Department of Computer Science and Engineering
Keywords: emotion sensing
web mining
natural language processing
event
Date: 2012
Issue Date: 2017-11-02T01:12:41Z
Publisher: Advanced research in applied artificial intelligence, Lecture Notes in Computer Science
Abstract: Abstract:Automatic emotion sensing in textual data is crucial for the development of intelligent interfaces in interactive computer applications. This paper reports a high-precision, domain-independent approach for automatic emotion sensing for “events” embedded in sentences. The proposed approach is based on the common action distribution between the subject and object of an event. We have incorporated semantic labeling and web-based text mining techniques, together with a number of reference entity pairs and hand-crafted emotion generation rules to realize an event emotion detection system. Moreover, a hybrid emotion detection engine is presented by incorporating a set of predefined emotion keywords and the proposed event-level emotion detection engine. The evaluation outcome reveals a rather satisfactory result with about 73% accuracy for detecting the Happy, Sad, Fear, Angry, Surprise, Disgust, and Neutral.
Relation: 7345, pp.427–436
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/43815
Appears in Collections:[資訊工程學系] 演講及研討會

Files in This Item:

File Description SizeFormat
10.1007%2F978-3-642-31087-4_45.pdf255KbAdobe PDF5View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback