From once upon a time to happily ever after: Tracking emotions in mail and books

被引：70
作者：
Mohammad, Saif M. [1 ]
机构：
[1] Natl Res Council Canada, Ottawa, ON K1A 0R6, Canada
来源：
DECISION SUPPORT SYSTEMS | 2012年 / 53卷 / 04期
关键词：
Emotion analysis; Sentiment analysis; Lexicon; Email; Fairy tales; Enron Corpus; Google Books Corpus; GENDER; COMMUNICATION;
D O I：
10.1016/j.dss.2012.05.030
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we show how sentiment analysis can be used in tandem with effective visualizations to quantify and track emotions in mail and books. We study a number of specific datasets and show, among other things, how collections of texts can be organized for affect-based search and how books portray different entities through co-occurring emotion words. Analysis of the Enron Email Corpus reveals that there are marked differences across genders in how they use emotion words in work-place email. Finally, we show that fairy tales have more extreme emotion densities than novels. Crown Copyright (C) 2012 Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：730 / 741
页数：12
相关论文
共 55 条
[1]  
Alm CO, 2005, LECT NOTES COMPUT SC, V3784, P668
[2]  
Aman S, 2007, LECT NOTES ARTIF INT, V4629, P196
[3]  
[Anonymous], 2004, Machine Learning
[4]  
[Anonymous], 2009, Proceedings of 3rd International ICWSM Conference on Weblogs and Social Media
[5]  
[Anonymous], 2011, P ACL 2011 WORKSH LA
[6]  
[Anonymous], 1992, The affective reasoner: a process model of emotions in a multiagent system
[7]  
[Anonymous], 2004, THESIS U SUSSEX
[8]  
[Anonymous], 1991, YOU JUST DONT UNDERS
[9]  
[Anonymous], P NAACL HLT 2010 WOR
[10]  
[Anonymous], 2005, P JOINT C HLT EMNLP
123456