Personality detection by analysis of Twitter profiles

Mehul Smriti Raje; Aakarsh Singh

doi:10.1007/978-3-319-60618-7_65

Personality detection by analysis of Twitter profiles

Mehul Smriti Raje, Aakarsh Singh

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

5 Citations (Scopus)

Abstract

With the boom of social networks, the amount of personal information that is put online has seen an exponential increase. Social media profiles can reveal important details about individuals and their preferences. Psychological studies have revealed that humans can be divided into types, based on their personality traits. This paper explores the usefulness of Twitter profiles in predicting the personality types of the users. The results of analysis of 450 Twitter profiles and over 1 million tweets are reported. It is shown that high degrees of correlation exist between the information from tweets and personality traits. Prediction accuracies up to 60% are also reported.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016
Publisher	Springer Verlag
Pages	667-675
Number of pages	9
Volume	614
ISBN (Print)	9783319606170
DOIs	https://doi.org/10.1007/978-3-319-60618-7_65
Publication status	Published - 2018
Externally published	Yes
Event	8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016 - Vellore, India Duration: 19-12-2016 → 21-12-2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	614
ISSN (Print)	2194-5357

Conference

Conference	8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016
Country/Territory	India
City	Vellore
Period	19-12-16 → 21-12-16

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-319-60618-7_65

Cite this

@inproceedings{c098b77f7c574b37bde76522db3ac76d,

title = "Personality detection by analysis of Twitter profiles",

abstract = "With the boom of social networks, the amount of personal information that is put online has seen an exponential increase. Social media profiles can reveal important details about individuals and their preferences. Psychological studies have revealed that humans can be divided into types, based on their personality traits. This paper explores the usefulness of Twitter profiles in predicting the personality types of the users. The results of analysis of 450 Twitter profiles and over 1 million tweets are reported. It is shown that high degrees of correlation exist between the information from tweets and personality traits. Prediction accuracies up to 60% are also reported.",

author = "Raje, {Mehul Smriti} and Aakarsh Singh",

year = "2018",

doi = "10.1007/978-3-319-60618-7_65",

language = "English",

isbn = "9783319606170",

volume = "614",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "667--675",

booktitle = "Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016",

address = "Germany",

note = "8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

}

Raje, MS & Singh, A 2018, Personality detection by analysis of Twitter profiles. in Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. vol. 614, Advances in Intelligent Systems and Computing, vol. 614, Springer Verlag, pp. 667-675, 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016, Vellore, India, 19-12-16. https://doi.org/10.1007/978-3-319-60618-7_65

Personality detection by analysis of Twitter profiles. / Raje, Mehul Smriti; Singh, Aakarsh.
Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. Vol. 614 Springer Verlag, 2018. p. 667-675 (Advances in Intelligent Systems and Computing; Vol. 614).

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

TY - GEN

T1 - Personality detection by analysis of Twitter profiles

AU - Raje, Mehul Smriti

AU - Singh, Aakarsh

PY - 2018

Y1 - 2018

N2 - With the boom of social networks, the amount of personal information that is put online has seen an exponential increase. Social media profiles can reveal important details about individuals and their preferences. Psychological studies have revealed that humans can be divided into types, based on their personality traits. This paper explores the usefulness of Twitter profiles in predicting the personality types of the users. The results of analysis of 450 Twitter profiles and over 1 million tweets are reported. It is shown that high degrees of correlation exist between the information from tweets and personality traits. Prediction accuracies up to 60% are also reported.

AB - With the boom of social networks, the amount of personal information that is put online has seen an exponential increase. Social media profiles can reveal important details about individuals and their preferences. Psychological studies have revealed that humans can be divided into types, based on their personality traits. This paper explores the usefulness of Twitter profiles in predicting the personality types of the users. The results of analysis of 450 Twitter profiles and over 1 million tweets are reported. It is shown that high degrees of correlation exist between the information from tweets and personality traits. Prediction accuracies up to 60% are also reported.

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DO - 10.1007/978-3-319-60618-7_65

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T3 - Advances in Intelligent Systems and Computing

SP - 667

EP - 675

BT - Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016

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ER -

Personality detection by analysis of Twitter profiles

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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