The Problem of Semantic Shift in Longitudinal Monitoring of Social Media-Reference-Cited by-同舟云学术

The Problem of Semantic Shift in Longitudinal Monitoring of Social Media

Published:2022-06-26 Issue: Volume: Page:
ISSN:
Container-title:14th ACM Web Science Conference 2022
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Author:

Harrigian Keith¹,Dredze Mark¹

Affiliation:

1. Department of Computer Science, Johns Hopkins University, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3501247.3531566

Reference99 articles.

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3. Faiyaz Al Zamal Wendy Liu and Derek Ruths. 2012. Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors. In ICWSM. Faiyaz Al Zamal Wendy Liu and Derek Ruths. 2012. Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors. In ICWSM.

4. Jules Angst Alex Gamma Wulf Rössler Vladeta Ajdacic and Daniel N Klein. 2009. Long-term depression versus episodic major depression: results from the prospective Zurich study of a community sample. Journal of affective disorders(2009). Jules Angst Alex Gamma Wulf Rössler Vladeta Ajdacic and Daniel N Klein. 2009. Long-term depression versus episodic major depression: results from the prospective Zurich study of a community sample. Journal of affective disorders(2009).

5. John W Ayers Eric C Leas Derek C Johnson Adam Poliak Benjamin M Althouse Mark Dredze and Alicia L Nobles. 2020. Internet searches for acute anxiety during the early stages of the COVID-19 pandemic. JAMA Internal Medicine(2020). John W Ayers Eric C Leas Derek C Johnson Adam Poliak Benjamin M Althouse Mark Dredze and Alicia L Nobles. 2020. Internet searches for acute anxiety during the early stages of the COVID-19 pandemic. JAMA Internal Medicine(2020).

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