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Social Media Text Classification under Negative Covariate Shift

Research article (Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015) · cited 33× · AI/ML
academia openalex:W2250638476
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Social Media Text Classification under Negative Covariate Shift

Summary

Social Media Text Classification under Negative Covariate Shift is a scholarly article[1].

Key Facts

  • Social Media Text Classification under Negative Covariate Shift's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Social Media Text Classification under Negative Covariate Shift. Retrieved May 24, 2026, from https://4ort.xyz/entity/social-media-text-classification-under-negative-covariate-shift
MLA “Social Media Text Classification under Negative Covariate Shift.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/social-media-text-classification-under-negative-covariate-shift.
BibTeX @misc{4ortxyz_social-media-text-classification-under-negative-covariate-shift_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Social Media Text Classification under Negative Covariate Shift}}, year = {2026}, url = {https://4ort.xyz/entity/social-media-text-classification-under-negative-covariate-shift}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Social Media Text Classification under Negative Covariate Shift — https://4ort.xyz/entity/social-media-text-classification-under-negative-covariate-shift (retrieved 2026-05-24)

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