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Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data
Research article (Spatial Information Research, 2021) · cited 19× · AI/ML
Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data
Summary
Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data is a scholarly article[1].
Key Facts
Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data'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). Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data. Retrieved May 24, 2026, from https://4ort.xyz/entity/mining-tourists-destinations-and-preferences-through-lstm-based-text-classification-and-spatial-clustering-using-flickr-
MLA“Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mining-tourists-destinations-and-preferences-through-lstm-based-text-classification-and-spatial-clustering-using-flickr-.
BibTeX@misc{4ortxyz_mining-tourists-destinations-and-preferences-through-lstm-based-text-classification-and-spatial-clustering-using-flickr-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data}}, year = {2026}, url = {https://4ort.xyz/entity/mining-tourists-destinations-and-preferences-through-lstm-based-text-classification-and-spatial-clustering-using-flickr-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mining tourists’ destinations and preferences through LSTM-based text classification and spatial clustering using Flickr data — https://4ort.xyz/entity/mining-tourists-destinations-and-preferences-through-lstm-based-text-classification-and-spatial-clustering-using-flickr- (retrieved 2026-05-24)
