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Using Twitter Language to Predict the Real Estate Market

Research article (Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2017) · cited 19× · AI/ML
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Using Twitter Language to Predict the Real Estate Market

Summary

Using Twitter Language to Predict the Real Estate Market is a scholarly article[1].

Key Facts

  • Using Twitter Language to Predict the Real Estate Market'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). Using Twitter Language to Predict the Real Estate Market. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-twitter-language-to-predict-the-real-estate-market
MLA “Using Twitter Language to Predict the Real Estate Market.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-twitter-language-to-predict-the-real-estate-market.
BibTeX @misc{4ortxyz_using-twitter-language-to-predict-the-real-estate-market_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Twitter Language to Predict the Real Estate Market}}, year = {2026}, url = {https://4ort.xyz/entity/using-twitter-language-to-predict-the-real-estate-market}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Twitter Language to Predict the Real Estate Market — https://4ort.xyz/entity/using-twitter-language-to-predict-the-real-estate-market (retrieved 2026-05-24)

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