Personality classification from text using bidirectional long short-term memory model
Author:
Funder
Zayed University
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-16661-7.pdf
Reference32 articles.
1. Majumder N, Poria S, Gelbukh A, Cambria E (2017) Deep Learning-Based Document Modeling for Personality Detection from Text. IEEE Intell Syst 32(2):74–79. https://doi.org/10.1109/MIS.2017.23
2. Sharma S, Kumar P, Kumar K (2017) LEXER: LEXicon based emotion AnalyzeR. In: Lecture notes in computer science. Springer International Publishing, pp 373–379
3. Ahmad H, Asghar MU, Asghar MZ, Khan A, Mosavi AH (2021) A Hybrid Deep Learning Technique for Personality Trait Classification From Text. IEEE Access 9:146214–146232. https://doi.org/10.1109/ACCESS.2021.3121791
4. Golbeck, J, Robles, C, Edmondson, M, Turner, K (2011) Predicting personality from twitter. In 2011 IEEE third international conference on privacy, security, risk and trust and 2011 IEEE third international conference on social computing. IEEE (pp. 149-156). https://doi.org/10.1109/PASSAT/SocialCom.2011.33
5. Gjurković, M, Šnajder, J (2018) Reddit: A gold mine for personality prediction. In Proceedings of the second workshop on computational modeling of people’s opinions, personality, and emotions in social media. New Orleans, Louisiana, USA. Association for Computational Linguistics (pp. 87-97). https://doi.org/10.18653/v1/W18-1112
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