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Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification
Research article (Transactions in GIS, 2018) · cited 26× · AI/ML
Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification
Summary
Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification is a scholarly article[1].
Key Facts
Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification's instance of is recorded as scholarly article[2].
References
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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.
APA4ort.xyz Knowledge Graph. (2026). Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/crowdsourcing-the-character-of-a-place-characterlevel-convolutional-networks-for-multilingual-geographic-text-classifica
MLA“Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/crowdsourcing-the-character-of-a-place-characterlevel-convolutional-networks-for-multilingual-geographic-text-classifica.
BibTeX@misc{4ortxyz_crowdsourcing-the-character-of-a-place-characterlevel-convolutional-networks-for-multilingual-geographic-text-classifica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification}}, year = {2026}, url = {https://4ort.xyz/entity/crowdsourcing-the-character-of-a-place-characterlevel-convolutional-networks-for-multilingual-geographic-text-classifica}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Crowdsourcing the character of a place: Character‐level convolutional networks for multilingual geographic text classification — https://4ort.xyz/entity/crowdsourcing-the-character-of-a-place-characterlevel-convolutional-networks-for-multilingual-geographic-text-classifica (retrieved 2026-05-24)
