Coupled social media content representation for predicting individual socioeconomic status-Reference-Cited by-同舟云学术

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Coupled social media content representation for predicting individual socioeconomic status

Published:2022-07 Issue: Volume:198 Page:116744
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhao Tao^ORCID,Tang Lu,Huang Jinfeng,Fu Xiaoming

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. Socioeconomic patterns of twitter user activity;Abitbol;Entropy,2021

2. Predicting twitter user socioeconomic attributes with network and language information;Aletras,2018

3. A neural probabilistic language model;Bengio;Journal of Machine Learning Research,2003

4. The american occupational structure.;Blau;American Journal of Sociology,1967

5. Twitter mood predicts the stock market;Bollen;Journal of Computational Science,2011

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1. Architects and designers on LinkedIn: perceptions and strategies for professional success;Engineering, Construction and Architectural Management;2024-07-30

2. Coupling human mobility and social relationships to predict individual socioeconomic status: A graph neural network approach;Transactions in GIS;2024-06-07

3. Data augmentation strategies to improve text classification: a use case in smart cities;Language Resources and Evaluation;2023-08-23

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