{"id":"https://openalex.org/W2988199137","doi":"https://doi.org/10.1145/3356471.3365231","title":"Assessing the placeness of locations through user-contributed content","display_name":"Assessing the placeness of locations through user-contributed content","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2988199137","doi":"https://doi.org/10.1145/3356471.3365231","mag":"2988199137"},"language":"en","primary_location":{"id":"doi:10.1145/3356471.3365231","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356471.3365231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054958274","display_name":"Xiaoyi Yuan","orcid":"https://orcid.org/0000-0003-1517-1315"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoyi Yuan","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049314735","display_name":"Andrew Crooks","orcid":"https://orcid.org/0000-0002-5034-6654"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Crooks","raw_affiliation_strings":["George Mason University, Fairfax, VA"],"affiliations":[{"raw_affiliation_string":"George Mason University, Fairfax, VA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054958274"],"corresponding_institution_ids":["https://openalex.org/I162714631"],"apc_list":null,"apc_paid":null,"fwci":2.0865,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87479936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12399","display_name":"Wine Industry and Tourism","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12399","display_name":"Wine Industry and Tourism","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1409","display_name":"Tourism, Leisure and Hospitality Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11925","display_name":"Culinary Culture and Tourism","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6138484477996826},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5766025185585022},{"id":"https://openalex.org/keywords/homogeneity","display_name":"Homogeneity (statistics)","score":0.5706865191459656},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5460512638092041},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.5055787563323975},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4614732265472412},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.4613822102546692},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4070359766483307},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.33118122816085815},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.32488998770713806},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3245658874511719},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3168880343437195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26624608039855957},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.23142945766448975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12481489777565002},{"id":"https://openalex.org/keywords/aesthetics","display_name":"Aesthetics","score":0.09441825747489929}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6138484477996826},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5766025185585022},{"id":"https://openalex.org/C142259097","wikidata":"https://www.wikidata.org/wiki/Q5891314","display_name":"Homogeneity (statistics)","level":2,"score":0.5706865191459656},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5460512638092041},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.5055787563323975},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4614732265472412},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.4613822102546692},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4070359766483307},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.33118122816085815},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.32488998770713806},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3245658874511719},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3168880343437195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26624608039855957},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.23142945766448975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12481489777565002},{"id":"https://openalex.org/C107038049","wikidata":"https://www.wikidata.org/wiki/Q35986","display_name":"Aesthetics","level":1,"score":0.09441825747489929},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3356471.3365231","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3356471.3365231","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W9248908","https://openalex.org/W37071648","https://openalex.org/W83953607","https://openalex.org/W1581485226","https://openalex.org/W1586216651","https://openalex.org/W1832693441","https://openalex.org/W1969240017","https://openalex.org/W2036288274","https://openalex.org/W2083244431","https://openalex.org/W2086494849","https://openalex.org/W2111679019","https://openalex.org/W2115519747","https://openalex.org/W2127411840","https://openalex.org/W2139963750","https://openalex.org/W2148034183","https://openalex.org/W2159457224","https://openalex.org/W2216973458","https://openalex.org/W2250539671","https://openalex.org/W2253519362","https://openalex.org/W2291418980","https://openalex.org/W2327693498","https://openalex.org/W2332221202","https://openalex.org/W2334024002","https://openalex.org/W2338448737","https://openalex.org/W2427312199","https://openalex.org/W2497979061","https://openalex.org/W2503375463","https://openalex.org/W2610504636","https://openalex.org/W2615117900","https://openalex.org/W2616653767","https://openalex.org/W2742947407","https://openalex.org/W2751418808","https://openalex.org/W2756816896","https://openalex.org/W2889721736","https://openalex.org/W2905332579","https://openalex.org/W2907262778","https://openalex.org/W2920807332","https://openalex.org/W2950601686","https://openalex.org/W2951956466","https://openalex.org/W2964236337","https://openalex.org/W2990138404","https://openalex.org/W2997617958","https://openalex.org/W3001261271","https://openalex.org/W3098932583","https://openalex.org/W4205184193","https://openalex.org/W6634901647"],"related_works":["https://openalex.org/W1999392235","https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2059493168","https://openalex.org/W2941935829","https://openalex.org/W2075537321","https://openalex.org/W2055668825","https://openalex.org/W2371593620","https://openalex.org/W2596247554"],"abstract_inverted_index":{"Previous":[0],"research":[1,53,159],"has":[2],"argued":[3],"that":[4,32,123,161],"urban":[5,27,156],"places":[6],"are":[7],"becoming":[8],"\"place-less\"":[9],"and":[10,38,169],"inauthentic.":[11],"Many":[12],"local":[13],"policies":[14],"have":[15,46],"also":[16],"proposed":[17],"to":[18,25,49,64],"encourage":[19],"more":[20,69,148],"independent":[21,111,145],"stores":[22,34],"in":[23,55,84,92],"order":[24],"restore":[26],"identity.":[28],"Others":[29],"argue,":[30],"however,":[31],"chain":[33,44,127,136],"provide":[35],"affordable":[36],"merchandise":[37],"different":[39,47,138],"locations":[40,139],"of":[41,86,90,117,120,126,137,143,153,155],"the":[42,87,103,118,124,131,134,141,144,151],"same":[43,135],"may":[45],"meanings":[48],"an":[50],"individual.":[51],"The":[52,77],"presented":[54],"this":[56],"paper":[57],"uses":[58],"a":[59,183],"Convolutional":[60],"Neural":[61],"Networks":[62],"model":[63],"extract":[65],"opinion":[66,166],"aspects":[67,91],"from":[68,130],"than":[70,110],"3":[71],"million":[72],"user-contributed":[73],"Yelp":[74],"restaurant":[75,93],"reviews.":[76,94],"results":[78],"show":[79],"high":[80],"homogeneity":[81],"among":[82],"cities":[83],"terms":[85],"average":[88],"proportions":[89],"In":[95],"addition,":[96],"for":[97,177],"fast":[98,112],"food":[99,113],"chains,":[100],"\"location\"":[101,121],"is":[102,147,175],"only":[104],"aspect":[105,167],"category":[106],"reviewed":[107],"proportionally":[108],"higher":[109],"restaurants.":[114],"An":[115],"analysis":[116,164],"co-occurrences":[119],"indicates":[122],"identity":[125,142],"restaurants":[128,146],"stems":[129],"comparison":[132],"between":[133],"whereas":[140],"diverse,":[149],"implying":[150],"intricacies":[152],"placeness":[154],"stores.":[157],"This":[158],"demonstrates":[160],"fine-grained":[162],"sentiment":[163],"(i.e.,":[165],"extraction":[168],"analysis)":[170],"with":[171],"geo-tagged":[172],"text":[173],"data":[174],"fruitful":[176],"studying":[178],"nuanced":[179],"place":[180],"perceptions":[181],"on":[182],"large":[184],"scale.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
