Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter-Reference-Cited by-同舟云学术

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Location, Occupation, and Semantics Based Socioeconomic Status Inference on Twitter

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Data Mining Workshops (ICDMW)
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Author:

Levy Abitbol Jacob,Karsai Marton,Fleury Eric

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8626049/8637356/08637386.pdf?arnumber=8637386

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Occupational groups prediction in Turkish Twitter data by using machine learning algorithms with multinomial approach;Expert Systems with Applications;2024-10

2. Occupation Prediction with Multimodal Learning from Tweet Messages and Google Street View Images;AGILE: GIScience Series;2024-05-30

3. THE OPPORTUNITIES, LIMITATIONS, AND CHALLENGES IN USING MACHINE LEARNING TECHNOLOGIES FOR HUMANITARIAN WORK AND DEVELOPMENT;Advances in Complex Systems;2024-05

4. Gender in the disclosure of loneliness on Twitter during COVID-19 lockdowns;Frontiers in Digital Health;2023-12-06

5. Vocational Education and Training Data in Twitter: Making German Twitter Data Interoperable;Proceedings of the Association for Information Science and Technology;2023-10

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