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Identifying Gender from SMS Text Messages

Research article (2016 15th IEEE International Conference on Machine Learning and Applications (ICMLA), 2016) · cited 11× · AI/ML
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Identifying Gender from SMS Text Messages

Summary

Identifying Gender from SMS Text Messages is a scholarly article[1].

Key Facts

  • Identifying Gender from SMS Text Messages'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). Identifying Gender from SMS Text Messages. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-gender-from-sms-text-messages
MLA “Identifying Gender from SMS Text Messages.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-gender-from-sms-text-messages.
BibTeX @misc{4ortxyz_identifying-gender-from-sms-text-messages_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying Gender from SMS Text Messages}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-gender-from-sms-text-messages}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying Gender from SMS Text Messages — https://4ort.xyz/entity/identifying-gender-from-sms-text-messages (retrieved 2026-05-24)

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