Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction-Reference-Cited by-同舟云学术

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Debiased Learning of Self-Labeled Twitter Data for User Demographic Prediction

Published:2022-12-17 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Big Data (Big Data)
language:
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Author:

Wang Zhen¹,Cooley Madison²,Zhang Yang¹,Lan Chao³,Zhang Ji⁴

Affiliation:

1. Zhejiang Lab,Research Institute of Artificial Intelligence,Hangzhou,China

2. University of Utah,School of Computing,Salt Lake City,USA

3. University of Oklahoma,School of Computer Science,Norman,USA

4. University of Southern Queensland,School of Mathematics, Physics and Computing,Toowoomba,Australia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10020192/10020156/10020166.pdf?arnumber=10020166

Reference7 articles.

1. Leveraging Social Media to Promote Public Health Knowledge: Example of Cancer Awareness via Twitter

2. Correcting sample selection bias by unlabeled data;huang;Advances in neural information processing systems,2006

3. Simple Queries as Distant Labels for Predicting Gender on Twitter

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