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Personality Prediction System from Facebook Users

Published: 01 November 2017 Publication History

Abstract

The use of social networks is increasing rapidly. Various informations are shared widely through social media, i.e. Facebook. Information about users and what they expressed through status updates are such important assets for research in the field of behavioral learning and human personality. Similar researches have been conducted in this field and it grows continually till now. This study attempts to build a system that can predict a persons personality based on Facebook user information. Personality model used in this research is Big Five Model Personality. While other previous researches used older machine learning algorithm in building their models, this research tries to implement some deep learning architectures to see the comparison by doing comprehensive analysis method through the accuracy result. The results succeeded to outperform the accuracy of previous similar research with the average accuracy of 74.17%.

References

[1]
Y Bachrach, M Kosinski, T Graepel, P Kohli, D Stillwell, Personality and patterns of Facebook usage, In 4th Annual ACM Web Science Conference; (2012) 24-32.
[2]
F Mairesse, M Walker, M Mehl, R Moore, Using linguistic cues for the automatic recognition of personality in conversation and text, Journal of artificial intelligence research, 30 (2007) 457-500.
[3]
L Fast, D Funder, Personality as manifest in word use: correlations with self-report, acquaintance report, and behavior, Journal of personality and social psychology, 94 (2008) 334.
[4]
G Farnadi, S Zoghbi, M Moens, M De Cock, How well do your Facebook status updates express your personality?, In 22nd edition of the annual Belgian-Dutch conference on machine learning (BENELEARN) (2013) 88.
[5]
H Schwartz, J Eichstaedt, M Kern, L Dziurzynski, S Ramones, M Agrawal, Personality, gender, and age in the language of social media: The open-vocabulary approach, PloS one, 8 (2013).
[6]
Wijaya A, Febrianto N, Prasetia I, Suhartono D. Sistem Prediksi Kepribadian "The Big Five Traits" Dari Data Twitter. Jakarta: Bina Nusantara University, School of Computer Science; 2016.
[7]
V Ong, ADS Rahmanto, W Suhartono D, Exploring Personality Prediction from Text on Social Media: A Literature Review, Internetworking Indonesia Journal, 9 (2017) 65-70.
[8]
Ong V, Rahmanto ADS, W, Suhartono D, Nugroho AE, Andangsari EW, et al. Personality Prediction Based on Twitter Information in Bahasa. In 2nd International Workshop on Language Technologies and Applications (LTA17); 2017; Prague.
[9]
N Majumder, S Poria, A Gelbukh, E Cambria, Deep Learning-Based Document Modeling for Personality Detection from Text, IEEE Intelligent Systems, 32 (2017 Mar) 74-79.
[10]
M Kosinski, S Matz, S Gosling, V Popov, D Stillwell, Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines, American Psychologist, 70 (2015 Feb) 543.
[11]
Kosinski M, Stillwell D, Graepel T. Private traits and attributes are predictable from digital records of human behavior. In Proceedings of the National Academy of Sciences of the United States of America; 2013: PNAS. p. 5802-5805.
[12]
W Youyou, M Kosinski, D Stillwell, Computer-based personality judgments are more accurate than those made by humans, In National Academy of Sciences; (2015) 1036-1040.
[13]
Pennebaker J, Boyd R, Jordan K, Blackburn K. The development and psychometric properties of LIWC2015. 2015.
[14]
Moffitt K, Giboney J, Ehrhardt E, Burgoon J, Nunamaker J. Structured programming for linguistic cue extraction. Online.; 2010. Available from: http://splice.cmi.arizona.edu/.
[15]
A Omalley, P Marsden, The analysis of social networks, In Health services and outcomes research methodology; (2008) 222-269.
[16]
J Pennington, R Socher, C Manning, Glove: Global vectors for word representation, In EMNLP 2014; (2014) 1532-1543.
[17]
M Gardner, S Dorling, Artificial neural networks (the multilayer perceptron)a review of applications in the atmospheric sciences, Atmospheric environment, 32 (1998) 2627-2636.
[18]
Kalchbrenner N, Grefenstette E, Blunsom P. A convolutional neural network for modelling sentences. 2014.
[19]
Cho K, Van Merrinboer B, Gulcehre C, Bahdanau D, Bougares F, Schwenk H, et al. Learning phrase representations using RNN encoder-decoder for statistical machine translation. 2014.
[20]
T Chen, C Guestrin, Xgboost: A scalable tree boosting system, In 22nd acm sigkdd international conference on knowledge discovery and data mining; (2016) 785-794.

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  • (2024)Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality DetectionNatural Language Processing and Chinese Computing10.1007/978-981-97-9440-9_28(359-371)Online publication date: 2-Nov-2024
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Information & Contributors

Information

Published In

cover image Procedia Computer Science
Procedia Computer Science  Volume 116, Issue C
November 2017
656 pages
ISSN:1877-0509
EISSN:1877-0509
Issue’s Table of Contents

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 November 2017

Author Tags

  1. big five model personality
  2. deep learning
  3. facebook
  4. machine learning
  5. personality prediction

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View all
  • (2024)The Personality Dimensions GPT-3 Expresses During Human-Chatbot InteractionsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596268:2(1-36)Online publication date: 15-May-2024
  • (2024)Towards job screening and personality traits estimation from video transcriptionsExpert Systems with Applications: An International Journal10.1016/j.eswa.2023.122016238:PDOnline publication date: 15-Mar-2024
  • (2024)Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality DetectionNatural Language Processing and Chinese Computing10.1007/978-981-97-9440-9_28(359-371)Online publication date: 2-Nov-2024
  • (2023)PCENet: Psychological Clues Exploration Network for Multimodal Personality AssessmentProceedings of the 32nd ACM International Conference on Information and Knowledge Management10.1145/3583780.3615005(3667-3676)Online publication date: 21-Oct-2023
  • (2023)Personality Trait Recognition Based on Smartphone Typing Characteristics in the WildIEEE Transactions on Affective Computing10.1109/TAFFC.2023.325320214:4(3207-3217)Online publication date: 1-Oct-2023
  • (2023)A deep learning approach to text-based personality prediction using multiple data sources mappingNeural Computing and Applications10.1007/s00521-023-08846-w35:28(20619-20630)Online publication date: 22-Jul-2023
  • (2023)Personality traits prediction model from Turkish contents with semantic structuresNeural Computing and Applications10.1007/s00521-023-08603-z35:23(17147-17165)Online publication date: 27-Apr-2023
  • (2023)Predicting Twitter Hate User Behavior Using Big Five Personality Traits and Ensemble Machine LearningSocial Computing and Social Media10.1007/978-3-031-35915-6_10(116-130)Online publication date: 23-Jul-2023
  • (2023)EEG based personality prediction using genetic programmingAsian Journal of Control10.1002/asjc.301925:5(3330-3342)Online publication date: 4-Sep-2023
  • (2022)Personality Prediction with Hybrid Genetic Programming using Portable EEG DeviceComputational Intelligence and Neuroscience10.1155/2022/48676302022Online publication date: 1-Jan-2022
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