{"id":"https://openalex.org/W2980498911","doi":"https://doi.org/10.1109/access.2019.2948355","title":"Fine-Grained Geolocalization of User-Generated Short Text Based on a Weight Probability Model","display_name":"Fine-Grained Geolocalization of User-Generated Short Text Based on a Weight Probability Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2980498911","doi":"https://doi.org/10.1109/access.2019.2948355","mag":"2980498911"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948355","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876833.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876833.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110647253","display_name":"Congjie Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Congjie Gao","raw_affiliation_strings":["School of Computer, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100376875","display_name":"Yongjun Li","orcid":"https://orcid.org/0000-0002-3184-6805"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Li","raw_affiliation_strings":["School of Computer, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100619615","display_name":"Jiaqi Yang","orcid":"https://orcid.org/0000-0002-2071-2457"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqi Yang","raw_affiliation_strings":["School of Computer, Northwestern Polytechnical University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100654380","display_name":"Wei Dong","orcid":"https://orcid.org/0000-0002-8033-7943"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Dong","raw_affiliation_strings":["School of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110647253"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.28,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66293978,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"153579","last_page":"153591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9937999844551086,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9937999844551086,"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/T10028","display_name":"Topic Modeling","score":0.9873999953269958,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.6730678677558899},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5661911964416504},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5542051792144775},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.49401313066482544},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47153884172439575},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.4322768449783325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41965562105178833},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39223361015319824},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3645813465118408},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33707737922668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30473792552948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24820268154144287},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09439268708229065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730678677558899},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5661911964416504},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5542051792144775},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.49401313066482544},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47153884172439575},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.4322768449783325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41965562105178833},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39223361015319824},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3645813465118408},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33707737922668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30473792552948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24820268154144287},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09439268708229065},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2948355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948355","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876833.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8c40cc8ee4614b85b6eeca8242c34c8e","is_oa":true,"landing_page_url":"https://doaj.org/article/8c40cc8ee4614b85b6eeca8242c34c8e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 153579-153591 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948355","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948355","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08876833.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2980498911.pdf","grobid_xml":"https://content.openalex.org/works/W2980498911.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1514461580","https://openalex.org/W1890727290","https://openalex.org/W1892832513","https://openalex.org/W1972338643","https://openalex.org/W1998032016","https://openalex.org/W2018277822","https://openalex.org/W2048953531","https://openalex.org/W2063718055","https://openalex.org/W2098541151","https://openalex.org/W2112594516","https://openalex.org/W2118480788","https://openalex.org/W2120779048","https://openalex.org/W2139554337","https://openalex.org/W2151378814","https://openalex.org/W2151802055","https://openalex.org/W2252926514","https://openalex.org/W2282112529","https://openalex.org/W2288692534","https://openalex.org/W2296740734","https://openalex.org/W2460246696","https://openalex.org/W2487588802","https://openalex.org/W2532090885","https://openalex.org/W2532561422","https://openalex.org/W2533953585","https://openalex.org/W2584161741","https://openalex.org/W2612301670","https://openalex.org/W2613812875","https://openalex.org/W2619658273","https://openalex.org/W2749920773","https://openalex.org/W2759511006","https://openalex.org/W2767340877","https://openalex.org/W2790823116","https://openalex.org/W2791022672","https://openalex.org/W2793014085","https://openalex.org/W2800952572","https://openalex.org/W6674886336","https://openalex.org/W6678039958","https://openalex.org/W6691777585","https://openalex.org/W6737486822","https://openalex.org/W6744862186"],"related_works":["https://openalex.org/W2383807498","https://openalex.org/W1978572805","https://openalex.org/W1997992934","https://openalex.org/W2504004674","https://openalex.org/W1987225439","https://openalex.org/W4238188170","https://openalex.org/W2125114371","https://openalex.org/W2498744856","https://openalex.org/W763418848","https://openalex.org/W2149980199"],"abstract_inverted_index":{"Recently,":[0],"the":[1,35,39,44,53,57,64,74,79,82,98,118,154,169,183,196],"fine-grained":[2,93],"geolocalization":[3,94],"of":[4,46,56,66,84,101,137,156,180,199],"User-Generated":[5],"Short":[6],"Texts":[7],"(UGST)":[8],"has":[9],"become":[10],"increasingly":[11],"important.":[12],"One":[13],"challenge":[14],"is":[15,38],"that":[16,127],"UGST":[17,158],"contains":[18],"relatively":[19],"little":[20],"location-indicative":[21,36,132],"information":[22,37],"due":[23],"to":[24,96,123,147,150,168],"such":[25],"limitations":[26],"as":[27],"text":[28],"length.":[29],"Therefore,":[30],"extract":[31],"and":[32,59,139,141,163,190],"effectively":[33],"use":[34],"key":[40],"issue":[41],"for":[42],"improving":[43],"effect":[45],"geolocalization.":[47],"The":[48,110,178,193],"existing":[49,75],"works":[50],"only":[51],"consider":[52],"global":[54],"weight":[55,106,145],"terms":[58,68,138],"do":[60,128],"not":[61,129],"distinguish":[62],"between":[63,81],"importance":[65],"identical":[67],"in":[69],"different":[70,85],"locations.":[71,86],"In":[72,87],"addition,":[73],"add-one":[76],"smoothing":[77],"masks":[78],"difference":[80],"features":[83],"this":[88],"paper,":[89],"we":[90],"propose":[91],"a":[92,105,143],"method":[95,111],"predict":[97],"PoI-level":[99],"location":[100,162],"UGSTs":[102,126],"based":[103],"on":[104,182],"probability":[107,155],"model":[108],"(FGST-WP).":[109],"mainly":[112],"includes":[113],"three":[114,184],"parts:":[115],"1)":[116],"Using":[117],"reverse":[119],"maximum":[120],"match":[121],"algorithm":[122],"filter":[124],"out":[125],"contain":[130],"any":[131],"information.":[133],"2)":[134],"Building":[135],"coupling":[136],"locations":[140,166],"adopting":[142],"mixed":[144],"strategy":[146],"assign":[148],"weights":[149],"terms.":[151],"3)":[152],"Calculating":[153],"nongeotagged":[157],"posted":[159],"from":[160],"each":[161],"selecting":[164],"k":[165],"according":[167],"top-":[170],"<inline-formula":[171],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[172],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[173],"<tex-math":[174],"notation=\"LaTeX\">$k$":[175],"</tex-math></inline-formula>":[176],"probabilities.":[177],"accuracy":[179],"FGST-WP":[181],"ground-truth":[185],"datasets":[186],"reaches":[187],"45%,":[188],"68%,":[189],"72%,":[191],"respectively.":[192],"results":[194],"indicate":[195],"superior":[197],"performance":[198],"FGST-WP.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
