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Article: Urban neighborhood socioeconomic status (SES) inference: A machine learning approach based on semantic and sentimental analysis of online housing advertisements

TitleUrban neighborhood socioeconomic status (SES) inference: A machine learning approach based on semantic and sentimental analysis of online housing advertisements
Authors
Wang, LHe, SSu, SLi, YHU, LLi, G
Issue Date2022
Citation
Habitat International, 2022, v. 124, p. 102572 How to Cite?
DOI: http://dx.doi.org/10.1016/j.habitatint.2022.102572
Persistent Identifierhttp://hdl.handle.net/10722/319808
ISI Accession Number ID
WOS:000799959300001

 

DC FieldValueLanguage
dc.contributor.authorWang, L-
dc.contributor.authorHe, S-
dc.contributor.authorSu, S-
dc.contributor.authorLi, Y-
dc.contributor.authorHU, L-
dc.contributor.authorLi, G-
dc.date.accessioned2022-10-14T05:20:08Z-
dc.date.available2022-10-14T05:20:08Z-
dc.date.issued2022-
dc.identifier.citationHabitat International, 2022, v. 124, p. 102572-
dc.identifier.urihttp://hdl.handle.net/10722/319808-
dc.languageeng-
dc.relation.ispartofHabitat International-
dc.titleUrban neighborhood socioeconomic status (SES) inference: A machine learning approach based on semantic and sentimental analysis of online housing advertisements-
dc.typeArticle-
dc.identifier.emailHe, S: sjhe@hku.hk-
dc.identifier.authorityHe, S=rp01996-
dc.identifier.doi10.1016/j.habitatint.2022.102572-
dc.identifier.hkuros338394-
dc.identifier.volume124-
dc.identifier.spage102572-
dc.identifier.epage102572-
dc.identifier.isiWOS:000799959300001-

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