Predicting Personality with Twitter Data and Machine Learning Models

Izel Ergu; Zerrin Isik; Ismail Yankayis

doi:10.1109/ASYU48272.2019.8946355

Predicting Personality with Twitter Data and Machine Learning Models

Izel Ergu, Zerrin Isik, Ismail Yankayis

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

Abstract

This study applies personality prediction of a Twitter user based on the words used in tweets posted by the user. The personality type is predicted based on Big Five Personality Model that outputs agreeableness, conscientiousness, openness, neuroticism, and extraversion as personality traits. We analyzed Turkish words for prediction, prepared a new dictionary that includes Turkish words with their special word groups. The most successful machine learning methods are selected to predict each personality trait. When the machine learning models were trained with the latest 50 tweets of users, models estimated each personality trait with the accuracy values in the range of 0.76 to 0.97.

Original language	English
Title of host publication	Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728128689
DOIs	https://doi.org/10.1109/ASYU48272.2019.8946355
Publication status	Published - 1 Oct 2019
Externally published	Yes
Event	2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 - Izmir, Turkey Duration: 31 Oct 2019 → 2 Nov 2019

Conference

Conference	2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019
Country/Territory	Turkey
City	Izmir
Period	31/10/19 → 2/11/19

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10.1109/ASYU48272.2019.8946355

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@inproceedings{ce33775b26664705876f38f85d4e24ee,

title = "Predicting Personality with Twitter Data and Machine Learning Models",

abstract = "This study applies personality prediction of a Twitter user based on the words used in tweets posted by the user. The personality type is predicted based on Big Five Personality Model that outputs agreeableness, conscientiousness, openness, neuroticism, and extraversion as personality traits. We analyzed Turkish words for prediction, prepared a new dictionary that includes Turkish words with their special word groups. The most successful machine learning methods are selected to predict each personality trait. When the machine learning models were trained with the latest 50 tweets of users, models estimated each personality trait with the accuracy values in the range of 0.76 to 0.97.",

author = "Izel Ergu and Zerrin Isik and Ismail Yankayis",

year = "2019",

month = oct,

day = "1",

doi = "10.1109/ASYU48272.2019.8946355",

language = "English",

booktitle = "Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019 ; Conference date: 31-10-2019 Through 02-11-2019",

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Ergu, I, Isik, Z & Yankayis, I 2019, Predicting Personality with Twitter Data and Machine Learning Models. in Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019., 8946355, Institute of Electrical and Electronics Engineers Inc., 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, Izmir, Turkey, 31/10/19. https://doi.org/10.1109/ASYU48272.2019.8946355

Predicting Personality with Twitter Data and Machine Learning Models. / Ergu, Izel; Isik, Zerrin; Yankayis, Ismail.
Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8946355.

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

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AU - Ergu, Izel

AU - Isik, Zerrin

AU - Yankayis, Ismail

PY - 2019/10/1

Y1 - 2019/10/1

N2 - This study applies personality prediction of a Twitter user based on the words used in tweets posted by the user. The personality type is predicted based on Big Five Personality Model that outputs agreeableness, conscientiousness, openness, neuroticism, and extraversion as personality traits. We analyzed Turkish words for prediction, prepared a new dictionary that includes Turkish words with their special word groups. The most successful machine learning methods are selected to predict each personality trait. When the machine learning models were trained with the latest 50 tweets of users, models estimated each personality trait with the accuracy values in the range of 0.76 to 0.97.

AB - This study applies personality prediction of a Twitter user based on the words used in tweets posted by the user. The personality type is predicted based on Big Five Personality Model that outputs agreeableness, conscientiousness, openness, neuroticism, and extraversion as personality traits. We analyzed Turkish words for prediction, prepared a new dictionary that includes Turkish words with their special word groups. The most successful machine learning methods are selected to predict each personality trait. When the machine learning models were trained with the latest 50 tweets of users, models estimated each personality trait with the accuracy values in the range of 0.76 to 0.97.

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M3 - Conference contribution

BT - Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019

Y2 - 31 October 2019 through 2 November 2019

ER -

Predicting Personality with Twitter Data and Machine Learning Models

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