Finding Optimists and Pessimists on Twitter

Xianzhi Ruan; Steven Wilson; Rada Mihalcea

doi:10.18653/v1/P16-2052

Finding Optimists and Pessimists on Twitter

Xianzhi Ruan, Steven Wilson, Rada Mihalcea

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

Abstract

Optimism is linked to various personal-ity factors as well as both psychologicaland physical health, but how does it re-late to the way a person tweets? We an-alyze the online activity of a set of Twit-ter users in order to determine how wellmachine learning algorithms can detect aperson’s outlook on life by reading theirtweets. A sample of tweets from each useris manually annotated in order to estab-lish ground truth labels, and classifiers aretrained to distinguish between optimisticand pessimistic users. Our results sug-gest that the words in people’s tweets pro-vide ample evidence to identify them asoptimists, pessimists, or somewhere in be-tween. Additionally, several applicationsof these trained models are explored.

Original language	English
Title of host publication	The 54th Annual Meeting of theAssociation for Computational Linguistics
Subtitle of host publication	Proceedings of the Conference, Vol. 2 (Short Papers)
Place of Publication	Berlin, Germany
Publisher	Association for Computational Linguistics
Pages	320-325
Number of pages	6
Volume	2
ISBN (Electronic)	978-1-945626-01-2
DOIs	https://doi.org/10.18653/v1/P16-2052
Publication status	Published - 12 Aug 2016
Event	54th Annual Meeting of the Association for Computational Linguistics - Berlin, Germany Duration: 7 Aug 2016 → 12 Aug 2016 https://mirror.aclweb.org/acl2016/

Conference

Conference	54th Annual Meeting of the Association for Computational Linguistics
Abbreviated title	ACL 2016
Country/Territory	Germany
City	Berlin
Period	7/08/16 → 12/08/16
Internet address	https://mirror.aclweb.org/acl2016/

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Finding Optimists_RUAN_DOA15042016_VOR_CC-BYFinal published version, 112 KBLicence: Creative Commons: Attribution (CC-BY)

https://www.aclweb.org/anthology/P16-2052Licence: Creative Commons: Attribution (CC-BY)

Cite this

@inproceedings{045af2822c344763b58fb618cef1d56c,

title = "Finding Optimists and Pessimists on Twitter",

abstract = "Optimism is linked to various personal-ity factors as well as both psychologicaland physical health, but how does it re-late to the way a person tweets? We an-alyze the online activity of a set of Twit-ter users in order to determine how wellmachine learning algorithms can detect aperson{\textquoteright}s outlook on life by reading theirtweets. A sample of tweets from each useris manually annotated in order to estab-lish ground truth labels, and classifiers aretrained to distinguish between optimisticand pessimistic users. Our results sug-gest that the words in people{\textquoteright}s tweets pro-vide ample evidence to identify them asoptimists, pessimists, or somewhere in be-tween. Additionally, several applicationsof these trained models are explored.",

author = "Xianzhi Ruan and Steven Wilson and Rada Mihalcea",

year = "2016",

month = aug,

day = "12",

doi = "10.18653/v1/P16-2052",

language = "English",

volume = "2",

pages = "320--325",

booktitle = "The 54th Annual Meeting of theAssociation for Computational Linguistics",

publisher = "Association for Computational Linguistics",

note = "54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 ; Conference date: 07-08-2016 Through 12-08-2016",

url = "https://mirror.aclweb.org/acl2016/",

}

Ruan, X, Wilson, S & Mihalcea, R 2016, Finding Optimists and Pessimists on Twitter. in The 54th Annual Meeting of theAssociation for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). vol. 2, Association for Computational Linguistics, Berlin, Germany, pp. 320-325, 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany, 7/08/16. https://doi.org/10.18653/v1/P16-2052

Finding Optimists and Pessimists on Twitter. / Ruan, Xianzhi; Wilson, Steven; Mihalcea, Rada.
The 54th Annual Meeting of theAssociation for Computational Linguistics: Proceedings of the Conference, Vol. 2 (Short Papers). Vol. 2 Berlin, Germany: Association for Computational Linguistics, 2016. p. 320-325.

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

TY - GEN

T1 - Finding Optimists and Pessimists on Twitter

AU - Ruan, Xianzhi

AU - Wilson, Steven

AU - Mihalcea, Rada

PY - 2016/8/12

Y1 - 2016/8/12

N2 - Optimism is linked to various personal-ity factors as well as both psychologicaland physical health, but how does it re-late to the way a person tweets? We an-alyze the online activity of a set of Twit-ter users in order to determine how wellmachine learning algorithms can detect aperson’s outlook on life by reading theirtweets. A sample of tweets from each useris manually annotated in order to estab-lish ground truth labels, and classifiers aretrained to distinguish between optimisticand pessimistic users. Our results sug-gest that the words in people’s tweets pro-vide ample evidence to identify them asoptimists, pessimists, or somewhere in be-tween. Additionally, several applicationsof these trained models are explored.

AB - Optimism is linked to various personal-ity factors as well as both psychologicaland physical health, but how does it re-late to the way a person tweets? We an-alyze the online activity of a set of Twit-ter users in order to determine how wellmachine learning algorithms can detect aperson’s outlook on life by reading theirtweets. A sample of tweets from each useris manually annotated in order to estab-lish ground truth labels, and classifiers aretrained to distinguish between optimisticand pessimistic users. Our results sug-gest that the words in people’s tweets pro-vide ample evidence to identify them asoptimists, pessimists, or somewhere in be-tween. Additionally, several applicationsof these trained models are explored.

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DO - 10.18653/v1/P16-2052

M3 - Conference contribution

VL - 2

SP - 320

EP - 325

BT - The 54th Annual Meeting of theAssociation for Computational Linguistics

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CY - Berlin, Germany

T2 - 54th Annual Meeting of the Association for Computational Linguistics

Y2 - 7 August 2016 through 12 August 2016

ER -

Finding Optimists and Pessimists on Twitter

Abstract

Conference

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