{"id":"https://openalex.org/W2093601672","doi":"https://doi.org/10.1145/2370216.2370427","title":"Detection, classification and visualization of place-triggered geotagged tweets","display_name":"Detection, classification and visualization of place-triggered geotagged tweets","publication_year":2012,"publication_date":"2012-09-05","ids":{"openalex":"https://openalex.org/W2093601672","doi":"https://doi.org/10.1145/2370216.2370427","mag":"2093601672"},"language":"en","primary_location":{"id":"doi:10.1145/2370216.2370427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2370216.2370427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM Conference on Ubiquitous Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5017292937","display_name":"Shinya Hiruta","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shinya Hiruta","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210141715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210141715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087646552","display_name":"Marko Jurmu","orcid":"https://orcid.org/0000-0002-2444-009X"},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]},{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI","JP"],"is_corresponding":false,"raw_author_name":"Marko Jurmu","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan and University of Oulu, Oulu, Finland","Keio University, Fujisawa, Kanagawa, Japan and University of Oulu, Oulu, Finland#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan and University of Oulu, Oulu, Finland","institution_ids":["https://openalex.org/I4210141715","https://openalex.org/I98381234"]},{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan and University of Oulu, Oulu, Finland#TAB#","institution_ids":["https://openalex.org/I98381234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103726965","display_name":"Hideyuki Tokuda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141715","display_name":"Keio University Shonan Fujisawa","ror":"https://ror.org/047khpn70","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210141715"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideyuki Tokuda","raw_affiliation_strings":["Keio University, Fujisawa, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Keio University, Fujisawa, Kanagawa, Japan","institution_ids":["https://openalex.org/I4210141715"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6542,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77047221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"956","last_page":"963"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7746310234069824},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.691494882106781},{"id":"https://openalex.org/keywords/geotagging","display_name":"Geotagging","score":0.631327748298645},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6205627918243408},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.5895259976387024},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49366888403892517},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.49208205938339233},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4801577925682068},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4553317725658417},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3458404242992401},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34310632944107056},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2312602400779724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.14430350065231323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7746310234069824},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.691494882106781},{"id":"https://openalex.org/C53605480","wikidata":"https://www.wikidata.org/wiki/Q852595","display_name":"Geotagging","level":2,"score":0.631327748298645},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6205627918243408},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.5895259976387024},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49366888403892517},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.49208205938339233},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4801577925682068},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4553317725658417},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3458404242992401},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34310632944107056},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2312602400779724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.14430350065231323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2370216.2370427","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2370216.2370427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2012 ACM Conference on Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"},{"id":"https://openalex.org/F4320335839","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349"},{"id":"https://openalex.org/F4320337571","display_name":"Communications Technology Laboratory","ror":"https://ror.org/015xey021"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1534625513","https://openalex.org/W1981468681","https://openalex.org/W2038311847","https://openalex.org/W2070722606","https://openalex.org/W2118388899","https://openalex.org/W2124499489","https://openalex.org/W2130254564","https://openalex.org/W2147654651","https://openalex.org/W2155189155","https://openalex.org/W2167978925"],"related_works":["https://openalex.org/W2275433313","https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2978974359","https://openalex.org/W2728430307","https://openalex.org/W2153980712","https://openalex.org/W2036556872","https://openalex.org/W2087532526","https://openalex.org/W1805578373","https://openalex.org/W2107786128"],"abstract_inverted_index":{"This":[0,53],"paper":[1],"proposes":[2],"and":[3,9,64,80,88,96,117],"evaluates":[4],"a":[5,90,109],"method":[6,107],"to":[7,25,50,83,94],"detect":[8,26,95],"classify":[10,97],"tweets":[11,38,44,75],"that":[12],"are":[13,46],"triggered":[14],"by":[15,113],"places":[16],"where":[17],"users":[18],"locate.":[19],"Recently,":[20],"many":[21],"related":[22,49],"works":[23],"address":[24,63],"real":[27,59],"world":[28,60],"events":[29],"from":[30],"social":[31],"media":[32],"such":[33],"as":[34],"Twitter.":[35],"However,":[36],"geotagged":[37,99,131],"often":[39],"contain":[40],"noise,":[41],"which":[42,45,76],"means":[43],"not":[47],"content-wise":[48],"users'":[51,84],"location.":[52,85],"noise":[54],"is":[55],"problem":[56],"for":[57,128],"detecting":[58],"events.":[61],"To":[62],"solve":[65],"the":[66,70,103],"problem,":[67],"we":[68,122],"define":[69],"Place-Triggered":[71],"Geotagged":[72],"Tweet,":[73],"meaning":[74],"have":[77],"both":[78],"geotag":[79],"content-based":[81],"relation":[82],"We":[86,101],"designed":[87],"implemented":[89],"keyword-based":[91],"matching":[92],"technique":[93],"place-triggered":[98,130],"tweets.":[100,132],"evaluated":[102],"performance":[104],"of":[105],"our":[106],"against":[108],"ground":[110],"truth":[111],"provided":[112],"18":[114],"human":[115],"classifiers,":[116],"achieved":[118],"82%":[119],"accuracy.":[120],"Additionally,":[121],"also":[123],"present":[124],"two":[125],"example":[126],"applications":[127],"visualizing":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}