{"id":"https://openalex.org/W2765260466","doi":"https://doi.org/10.1145/3148044.3148048","title":"Leveraging Spatial Community Information in Location Recognition in Tweets","display_name":"Leveraging Spatial Community Information in Location Recognition in Tweets","publication_year":2017,"publication_date":"2017-10-27","ids":{"openalex":"https://openalex.org/W2765260466","doi":"https://doi.org/10.1145/3148044.3148048","mag":"2765260466"},"language":"en","primary_location":{"id":"doi:10.1145/3148044.3148048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148044.3148048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News","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/A5101682562","display_name":"Phuc Nguyen","orcid":"https://orcid.org/0000-0003-1679-723X"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Phuc Nguyen","raw_affiliation_strings":["University of North Texas, Denton, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, Texas","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764456","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-0575-0156"},"institutions":[{"id":"https://openalex.org/I123534392","display_name":"University of North Texas","ror":"https://ror.org/00v97ad02","country_code":"US","type":"education","lineage":["https://openalex.org/I123534392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["University of North Texas, Denton, Texas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Texas, Denton, Texas","institution_ids":["https://openalex.org/I123534392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041752890","display_name":"Joshua R. Trampier","orcid":null},"institutions":[{"id":"https://openalex.org/I1330347796","display_name":"United States Department of Defense","ror":"https://ror.org/0447fe631","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua R. Trampier","raw_affiliation_strings":["Department of Defense, Springfield, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Defense, Springfield, Virginia","institution_ids":["https://openalex.org/I1330347796"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22604689,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"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/T10028","display_name":"Topic Modeling","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8461140394210815},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7210700511932373},{"id":"https://openalex.org/keywords/entity-linking","display_name":"Entity linking","score":0.5687807202339172},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5644670724868774},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5311262607574463},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.4934026300907135},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4783479869365692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4767504632472992},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4247158169746399},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.4111930727958679},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3719157874584198},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28737786412239075},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.10602211952209473}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8461140394210815},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7210700511932373},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.5687807202339172},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5644670724868774},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5311262607574463},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.4934026300907135},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4783479869365692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4767504632472992},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4247158169746399},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.4111930727958679},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3719157874584198},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28737786412239075},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.10602211952209473},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148044.3148048","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148044.3148048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st ACM SIGSPATIAL Workshop on Analytics for Local Events and News","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5199999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1906503946","https://openalex.org/W1969486090","https://openalex.org/W1979987551","https://openalex.org/W2001082470","https://openalex.org/W2004763266","https://openalex.org/W2020360881","https://openalex.org/W2061806977","https://openalex.org/W2096765155","https://openalex.org/W2100581574","https://openalex.org/W2117813082","https://openalex.org/W2119759918","https://openalex.org/W2121227244","https://openalex.org/W2127860643","https://openalex.org/W2142889507","https://openalex.org/W2143933463","https://openalex.org/W2145111356","https://openalex.org/W2147880316","https://openalex.org/W2149510050","https://openalex.org/W2150731624","https://openalex.org/W2153848201","https://openalex.org/W2156515921","https://openalex.org/W2167521368","https://openalex.org/W2250729567","https://openalex.org/W2250999864"],"related_works":["https://openalex.org/W2357256365","https://openalex.org/W2348502264","https://openalex.org/W2365486383","https://openalex.org/W2362059367","https://openalex.org/W2350084742","https://openalex.org/W3133906981","https://openalex.org/W3006227201","https://openalex.org/W3160627956","https://openalex.org/W2891522332","https://openalex.org/W2595836257"],"abstract_inverted_index":{"Location":[0],"names":[1],"are":[2],"very":[3],"helpful":[4],"in":[5],"event":[6],"extraction.":[7],"Informal":[8],"social":[9,19,30],"texts":[10,20],"pose":[11],"significant":[12],"challenges":[13],"for":[14],"recognizing":[15,37],"location":[16,36,92],"names.":[17],"However,":[18],"have":[21],"an":[22],"advantage":[23],"that":[24,85],"can":[25,89],"be":[26],"leveraged:":[27],"spatial":[28],"and":[29,46,55,74],"network":[31],"contexts.":[32],"We":[33],"address":[34],"the":[35,91],"task":[38],"as":[39],"a":[40,48,66,70,80],"part":[41],"of":[42,61],"named":[43],"entity":[44],"recognition,":[45],"introduce":[47],"new":[49],"approach":[50],"which":[51],"leverages":[52],"community":[53,67],"contexts":[54],"captures":[56],"language":[57],"variations":[58],"among":[59],"groups":[60],"users.":[62],"Specifically,":[63],"we":[64],"incorporate":[65],"component":[68],"into":[69],"topic":[71],"modeling":[72],"method":[73,88],"harness":[75],"unlabeled":[76],"tweets.":[77],"Experiments":[78],"on":[79],"large":[81],"Twitter":[82],"dataset":[83],"show":[84],"our":[86],"proposed":[87],"improve":[90],"classification":[93],"F1":[94],"score":[95],"by":[96],"5%.":[97]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
