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MBTI TYPE PREDICTION USING IMAGES FROM INSTAGRAM

https://doi.org/10.55452/1998-6688-2021-18-3-42-45

Abstract

This article describes image based personality type prediction. With the help of the Instagram API, photos of respondents who previously passed the MBTI test were collected. As a result, 60 percent of accuracy was achieved. This work represents one of the solutions to determine what personality type a person belongs to without passing any tests, but simply uploading an image.

About the Authors

D. Mussayeva
Suleyman Demirel University
Kazakhstan

B.S, Student of Master program

040900, Abylai Khan street 1/1, Kaskelen



A. Kuandykova
JSC “Kompra”
Kazakhstan

B.S, Data Analyst

010000, Mangilik Yel avenue, С4 /6, Nur-Sultan



A. Talasbek
Suleyman Demirel University
Kazakhstan

MSc, Senior Lecturer

040900, Abylai Khan street 1/1, Kaskelen



K. Orynbekova
Suleyman Demirel University
Kazakhstan

MSc, Senior Lecturer

040900, Abylai Khan street 1/1, Kaskelen



D. Kariboz
Suleyman Demirel University
Kazakhstan

MSc, Senior Lecturer

040900, Abylai Khan street 1/1, Kaskelen



References

1. Myers, Isabel Briggs with Peter B. Myers (1995) [1980]. Gifts Differing: Understanding Personality Type. Mountain View, CA: Davies-Black Publishing. ISBN 978-0-89106-074-1

2. GJ. Boyle, (1989). Re-examination of the major personality-type factors in the Cattell, Comrey, and Eysenck scales: Were the factor solutions by Noller et al. optimal? Personality and Individual Differences, 10, 1289-1299.

3. P.T. Costa, & R.R. McCrae, (1992). NEO Personality Inventory. Psychological Assessment, 4, 5- 13.

4. Paul D. Tieger and Barbara Barron-Tieger. Do What You Are: Discover the Perfect Career for You Through the Secrets of Personality Type

5. Assem Talasbek, Azamat Serek. Personality Classification Experiment by Applying k-Means Clustering. International Journal of Emerging Technologies in Learning (iJET) 15(16):162.

6. Photo of actor. Available at: https://baigenews.kz/news/dueyn_dzhonson_zanyal_trete_mesto_v_mire_po_chislu_podpischikov_v_instagram/ Date of access [17.01.2020]

7. Nigam V. Understanding Neural Networks. From neuron to RNN, CNN, and Deep Learning (2018). Available at: https://towardsdatascience.com/understanding-neural-networks-fromneuron-to-rnn-cnn-and-deep-learning-cd88e90e0a90 Date of [17.02.2020]

8. CNN. Available at: https://towardsai.net/p/machine-learning/beginner-guides-to-convolutionalneural-network-from-scratch-kuzushiji-mnist-75f42c175b21 Date of access [17.01.2020]


Review

For citations:


Mussayeva D., Kuandykova A., Talasbek A., Orynbekova K., Kariboz D. MBTI TYPE PREDICTION USING IMAGES FROM INSTAGRAM. Herald of the Kazakh-British technical university. 2021;18(3):42-45. https://doi.org/10.55452/1998-6688-2021-18-3-42-45

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ISSN 1998-6688 (Print)
ISSN 2959-8109 (Online)