{"id":"https://openalex.org/W3023891130","doi":"https://doi.org/10.1109/lifetech48969.2020.1570618986","title":"Extracting Detour Spots Using Skip-gram Model from Geo-tagged Tweets","display_name":"Extracting Detour Spots Using Skip-gram Model from Geo-tagged Tweets","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3023891130","doi":"https://doi.org/10.1109/lifetech48969.2020.1570618986","mag":"3023891130"},"language":"en","primary_location":{"id":"doi:10.1109/lifetech48969.2020.1570618986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech48969.2020.1570618986","pdf_url":null,"source":{"id":"https://openalex.org/S4306498653","display_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","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/A5100870518","display_name":"Masahiro Mizutani","orcid":null},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masahiro Mizutani","raw_affiliation_strings":["Department of Information Science, Okayama University of Science, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Okayama University of Science, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086581662","display_name":"Tetsuya Oda","orcid":"https://orcid.org/0000-0001-6306-1976"},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tetsuya Oda","raw_affiliation_strings":["Department of Information and Computer Engineering, Okayama University of Science, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Engineering, Okayama University of Science, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008392508","display_name":"Masaharu Hirota","orcid":"https://orcid.org/0000-0003-1524-3585"},"institutions":[{"id":"https://openalex.org/I136446963","display_name":"Okayama University of Science","ror":"https://ror.org/05aevyc10","country_code":"JP","type":"education","lineage":["https://openalex.org/I136446963"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaharu Hirota","raw_affiliation_strings":["Department of Information Science, Okayama University of Science, Okayama, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Science, Okayama University of Science, Okayama, Japan","institution_ids":["https://openalex.org/I136446963"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136446963"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"174"},"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":0.9993000030517578,"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":0.9993000030517578,"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/T11106","display_name":"Data Management and Algorithms","score":0.9742000102996826,"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"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9710000157356262,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/spots","display_name":"Spots","score":0.724397599697113},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6974610090255737},{"id":"https://openalex.org/keywords/upload","display_name":"Upload","score":0.6037020683288574},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5147083401679993},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4905351996421814},{"id":"https://openalex.org/keywords/n-gram","display_name":"n-gram","score":0.4703802168369293},{"id":"https://openalex.org/keywords/tourism","display_name":"Tourism","score":0.4639529585838318},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.42063796520233154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41553056240081787},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35165607929229736},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2912282645702362},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16586235165596008},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.11831223964691162}],"concepts":[{"id":"https://openalex.org/C2781255879","wikidata":"https://www.wikidata.org/wiki/Q7580087","display_name":"Spots","level":2,"score":0.724397599697113},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6974610090255737},{"id":"https://openalex.org/C71901391","wikidata":"https://www.wikidata.org/wiki/Q7126699","display_name":"Upload","level":2,"score":0.6037020683288574},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5147083401679993},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4905351996421814},{"id":"https://openalex.org/C117884012","wikidata":"https://www.wikidata.org/wiki/Q94489","display_name":"n-gram","level":3,"score":0.4703802168369293},{"id":"https://openalex.org/C18918823","wikidata":"https://www.wikidata.org/wiki/Q49389","display_name":"Tourism","level":2,"score":0.4639529585838318},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.42063796520233154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41553056240081787},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35165607929229736},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2912282645702362},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16586235165596008},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.11831223964691162},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lifetech48969.2020.1570618986","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lifetech48969.2020.1570618986","pdf_url":null,"source":{"id":"https://openalex.org/S4306498653","display_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2153579005","https://openalex.org/W2731430465","https://openalex.org/W2768051213","https://openalex.org/W4294170691","https://openalex.org/W6682691769"],"related_works":["https://openalex.org/W1997967488","https://openalex.org/W2593833119","https://openalex.org/W2944823289","https://openalex.org/W3037018281","https://openalex.org/W2003209439","https://openalex.org/W4321854979","https://openalex.org/W2224840501","https://openalex.org/W2358319515","https://openalex.org/W2972592048","https://openalex.org/W2088052375"],"abstract_inverted_index":{"Numerous":[0],"contents":[1],"have":[2],"been":[3],"uploaded":[4],"to":[5,11,46,74],"social":[6],"media":[7],"sites":[8],"are":[9],"useful":[10],"analyze":[12],"the":[13,59,66,69,75,80],"tourist":[14,19],"behaviors":[15],"and":[16,58],"recommend":[17],"other":[18],"spots.":[20],"In":[21],"this":[22],"paper,":[23],"we":[24],"propose":[25],"a":[26,42,50,93],"method":[27,87],"for":[28,92],"extracting":[29],"detour":[30,90],"spots":[31,91],"from":[32,71],"user":[33],"movement":[34],"represented":[35],"by":[36,55],"those":[37],"contents.":[38],"Our":[39],"approach":[40],"uses":[41],"new":[43],"Skip-gram":[44],"model":[45],"learn":[47],"movements":[48,70],"between":[49,68],"pair":[51],"of":[52],"locations":[53],"quantized":[54],"their":[56],"latitude":[57],"longitude.":[60],"The":[61],"generated":[62,83],"embedding":[63],"vectors":[64,82],"represent":[65],"relationships":[67],"one":[72],"area":[73],"next.":[76],"We":[77],"demonstrated":[78],"that":[79],"embedded":[81],"with":[84],"our":[85],"proposed":[86],"could":[88],"extract":[89],"travel":[94],"route.":[95]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
