Comparative Analysis of the Use of Pre-Trained Models to Profile Authors’ Ages and Genders-Reference-Cited by-同舟云学术

Comparative Analysis of the Use of Pre-Trained Models to Profile Authors’ Ages and Genders

Published:2022-04-15 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Computing and Machine Intelligence (ICMI)
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Author:

Alzahrani Esam¹,Al Qurashi Mohammed²,Jololian Leon³

Affiliation:

1. University of Alabama at Birmingham and AlBaha University,Electrical and Computer Engineering Department,Birmingham,USA

2. ALBaha University,Computer Science Department,AlBaha,Saudi Arabia

3. University of Albama at Birmingham,Electrical and Computer Engineering Department,Birmngham,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9872523/9873645/09873677.pdf?arnumber=9873677

Reference24 articles.

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2. Author profiling: Predicting age and gender from blogs: Notebook for PAN at CLEF 2013;santosh;CEUR Workshop Proceedings,2013

3. Author Profiling for English and Spanish Text Notebook for PAN at CLEF 2013;sapkota,2013

4. Discriminating gender on Twitter;burger;EMNLP 2011 - Conf Empir Methods Nat Lang Process Proc Conf,2011

5. A New Term Weight Measure for Gender and Age Prediction of the Authors by analyzing their Written Texts;seelam;Proc 8th Int Adv Comput Conf IACC 2018,2018

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1. Author Identity Unveiled: Gender and Age Prediction from Textual Patterns using BERT;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21