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Examining the Coherence of the Top Ranked Tweet Topics

Research article (Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016) · cited 23× · AI/ML
academia openalex:W2372596980
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Examining the Coherence of the Top Ranked Tweet Topics

Summary

Examining the Coherence of the Top Ranked Tweet Topics is a scholarly article[1].

Key Facts

  • Examining the Coherence of the Top Ranked Tweet Topics'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). Examining the Coherence of the Top Ranked Tweet Topics. Retrieved May 24, 2026, from https://4ort.xyz/entity/examining-the-coherence-of-the-top-ranked-tweet-topics
MLA “Examining the Coherence of the Top Ranked Tweet Topics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/examining-the-coherence-of-the-top-ranked-tweet-topics.
BibTeX @misc{4ortxyz_examining-the-coherence-of-the-top-ranked-tweet-topics_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Examining the Coherence of the Top Ranked Tweet Topics}}, year = {2026}, url = {https://4ort.xyz/entity/examining-the-coherence-of-the-top-ranked-tweet-topics}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Examining the Coherence of the Top Ranked Tweet Topics — https://4ort.xyz/entity/examining-the-coherence-of-the-top-ranked-tweet-topics (retrieved 2026-05-24)

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