Predicting the next word using the Markov chain model according to profiling personality-Reference-Cited by-同舟云学术

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Predicting the next word using the Markov chain model according to profiling personality

Published:2023-03-07 Issue:11 Volume:79 Page:12126-12141
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Elbaghazaoui Bahaa Eddine,Amnai Mohamed,Fakhri Youssef

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05125-2.pdf

Reference45 articles.

1. Haxby JV, Hoffman EA, Gobbini MI (2000) The distributed human neural system for face perception. Trends Cognit Sci 4(6):223–233. https://doi.org/10.1016/S1364-6613(00)01538-2

2. El Sayed E (2017) Exploiting social annotations for personalizing retrieval. Int J Intell Eng Syst, 10(6):192–202. https://doi.org/10.22266/ijies2017.1231.21

3. Garg S, Garg A (2021) Comparison of machine learning algorithms for content based personality resolution of tweets. Social Sci Humanit Open 4(1):100178. https://doi.org/10.1016/j.ssaho.2020.100178

4. Feher A, Vernon Philip A (2021) Looking beyond the Big Five: a selective review of alternatives to the Big Five model of personality. Personal Individ Differ 169:110002. https://doi.org/10.1016/j.paid.2020.110002

5. Ng TW, Eby LT, Sorensen KL, Feldman DC (2021) Comparing personality measurement approaches: a meta-analysis. J Organ Behav 42(4):387–407. https://doi.org/10.1002/job.2485

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