A Multiple Classifier System for Classifying Life Events on Social Media

Paulo R. Cavalin; Luis G. Moyano; Pedro P. Miranda

doi:10.1109/ICDMW.2015.182

A Multiple Classifier System for Classifying Life Events on Social Media

Paulo R. Cavalin, Luis G. Moyano, Pedro P. Miranda

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier. To tackle this problem, we focus on creating a set of classifiers from different feature sets, and combining their classification outputs to improve accuracy. The experiments show that multiple classifiers are promising for this problem, being able to present an increase of about 45% in the F-Score.

Original language	English
Title of host publication	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Editors	Xindong Wu, Alexander Tuzhilin, Hui Xiong, Jennifer G. Dy, Charu Aggarwal, Zhi-Hua Zhou, Peng Cui
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1332-1335
Number of pages	4
ISBN (Electronic)	9781467384926
DOIs	https://doi.org/10.1109/ICDMW.2015.182
State	Published - 29 Jan 2016
Externally published	Yes
Event	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 - Atlantic City, United States Duration: 14 Nov 2015 → 17 Nov 2015

Publication series

Name	Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

Conference

Conference	15th IEEE International Conference on Data Mining Workshop, ICDMW 2015
Country/Territory	United States
City	Atlantic City
Period	14/11/15 → 17/11/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

classification algorithms
life events
social media

Access to Document

10.1109/ICDMW.2015.182

Cite this

Cavalin, P. R., Moyano, L. G., & Miranda, P. P. (2016). A Multiple Classifier System for Classifying Life Events on Social Media. In X. Wu, A. Tuzhilin, H. Xiong, J. G. Dy, C. Aggarwal, Z.-H. Zhou, & P. Cui (Eds.), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 (pp. 1332-1335). Article 7395822 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICDMW.2015.182

Cavalin, Paulo R. ; Moyano, Luis G. ; Miranda, Pedro P. / A Multiple Classifier System for Classifying Life Events on Social Media. Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. editor / Xindong Wu ; Alexander Tuzhilin ; Hui Xiong ; Jennifer G. Dy ; Charu Aggarwal ; Zhi-Hua Zhou ; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 1332-1335 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

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title = "A Multiple Classifier System for Classifying Life Events on Social Media",

abstract = "In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier. To tackle this problem, we focus on creating a set of classifiers from different feature sets, and combining their classification outputs to improve accuracy. The experiments show that multiple classifiers are promising for this problem, being able to present an increase of about 45% in the F-Score.",

keywords = "classification algorithms, life events, social media",

author = "Cavalin, {Paulo R.} and Moyano, {Luis G.} and Miranda, {Pedro P.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015 ; Conference date: 14-11-2015 Through 17-11-2015",

year = "2016",

month = jan,

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doi = "10.1109/ICDMW.2015.182",

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Cavalin, PR, Moyano, LG & Miranda, PP 2016, A Multiple Classifier System for Classifying Life Events on Social Media. in X Wu, A Tuzhilin, H Xiong, JG Dy, C Aggarwal, Z-H Zhou & P Cui (eds), Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015., 7395822, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Institute of Electrical and Electronics Engineers Inc., pp. 1332-1335, 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015, Atlantic City, United States, 14/11/15. https://doi.org/10.1109/ICDMW.2015.182

A Multiple Classifier System for Classifying Life Events on Social Media. / Cavalin, Paulo R.; Moyano, Luis G.; Miranda, Pedro P.
Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. ed. / Xindong Wu; Alexander Tuzhilin; Hui Xiong; Jennifer G. Dy; Charu Aggarwal; Zhi-Hua Zhou; Peng Cui. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1332-1335 7395822 (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this work we present a Conversation Classifierbased on Multiple Classifiers, to detect Life Events on SocialMedia. In one hand, conversations can provide more contextand help disambiguate life event detection, compared with single posts. On the other hand, the increase in number of messages and the way they interact with each other within the conversation cannot be trivially modeled by a classifier. To tackle this problem, we focus on creating a set of classifiers from different feature sets, and combining their classification outputs to improve accuracy. The experiments show that multiple classifiers are promising for this problem, being able to present an increase of about 45% in the F-Score.

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Cavalin PR, Moyano LG, Miranda PP. A Multiple Classifier System for Classifying Life Events on Social Media. In Wu X, Tuzhilin A, Xiong H, Dy JG, Aggarwal C, Zhou ZH, Cui P, editors, Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 1332-1335. 7395822. (Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015). doi: 10.1109/ICDMW.2015.182

A Multiple Classifier System for Classifying Life Events on Social Media

Abstract

Publication series

Conference

Bibliographical note

Keywords

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