{"id":"https://openalex.org/W2904811022","doi":"https://doi.org/10.1109/gcce.2018.8574802","title":"Predicting Short-Term Exchange Rates for Automatic Purchasing Using News Article Data","display_name":"Predicting Short-Term Exchange Rates for Automatic Purchasing Using News Article Data","publication_year":2018,"publication_date":"2018-10-01","ids":{"openalex":"https://openalex.org/W2904811022","doi":"https://doi.org/10.1109/gcce.2018.8574802","mag":"2904811022"},"language":"en","primary_location":{"id":"doi:10.1109/gcce.2018.8574802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","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/A5084692229","display_name":"Hairon Sato","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hairon Sato","raw_affiliation_strings":["Yamaguchi University, Ube, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamaguchi University, Ube, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075871099","display_name":"Nana Ogasawara","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nana Ogasawara","raw_affiliation_strings":["Yamaguchi University, Ube, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamaguchi University, Ube, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100423130","display_name":"Yuanyuan Wang","orcid":"https://orcid.org/0000-0001-8181-3465"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuanyuan Wang","raw_affiliation_strings":["Yamaguchi University, Ube, Yamaguchi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yamaguchi University, Ube, Yamaguchi, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173915773"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.23068764,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"414","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9922999739646912,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11059","display_name":"Market Dynamics and Volatility","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/stock-exchange","display_name":"Stock exchange","score":0.7235038876533508},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6728787422180176},{"id":"https://openalex.org/keywords/foreign-exchange-market","display_name":"Foreign exchange market","score":0.6327711343765259},{"id":"https://openalex.org/keywords/purchasing","display_name":"Purchasing","score":0.6067248582839966},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5824928879737854},{"id":"https://openalex.org/keywords/exchange-rate","display_name":"Exchange rate","score":0.5234246253967285},{"id":"https://openalex.org/keywords/data-exchange","display_name":"Data exchange","score":0.48256224393844604},{"id":"https://openalex.org/keywords/foreign-exchange","display_name":"Foreign exchange","score":0.4797588288784027},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33362728357315063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3229691982269287},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.23230013251304626},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2202972173690796},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21375662088394165},{"id":"https://openalex.org/keywords/monetary-economics","display_name":"Monetary economics","score":0.20847180485725403},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.16947874426841736},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.11544868350028992}],"concepts":[{"id":"https://openalex.org/C200870193","wikidata":"https://www.wikidata.org/wiki/Q11691","display_name":"Stock exchange","level":2,"score":0.7235038876533508},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6728787422180176},{"id":"https://openalex.org/C536366893","wikidata":"https://www.wikidata.org/wiki/Q66076","display_name":"Foreign exchange market","level":3,"score":0.6327711343765259},{"id":"https://openalex.org/C2778813691","wikidata":"https://www.wikidata.org/wiki/Q1369832","display_name":"Purchasing","level":2,"score":0.6067248582839966},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5824928879737854},{"id":"https://openalex.org/C2776988154","wikidata":"https://www.wikidata.org/wiki/Q66100","display_name":"Exchange rate","level":2,"score":0.5234246253967285},{"id":"https://openalex.org/C15845906","wikidata":"https://www.wikidata.org/wiki/Q1172338","display_name":"Data exchange","level":2,"score":0.48256224393844604},{"id":"https://openalex.org/C2983132609","wikidata":"https://www.wikidata.org/wiki/Q66076","display_name":"Foreign exchange","level":2,"score":0.4797588288784027},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33362728357315063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3229691982269287},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.23230013251304626},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2202972173690796},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21375662088394165},{"id":"https://openalex.org/C556758197","wikidata":"https://www.wikidata.org/wiki/Q580018","display_name":"Monetary economics","level":1,"score":0.20847180485725403},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.16947874426841736},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.11544868350028992},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcce.2018.8574802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcce.2018.8574802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 7th Global Conference on Consumer Electronics (GCCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.5699999928474426,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2058168013","https://openalex.org/W2120881933","https://openalex.org/W2167088383","https://openalex.org/W2171468534","https://openalex.org/W2326080108","https://openalex.org/W2500135193","https://openalex.org/W2561884524"],"related_works":["https://openalex.org/W1571781785","https://openalex.org/W1502838439","https://openalex.org/W404327971","https://openalex.org/W4318433428","https://openalex.org/W2562141402","https://openalex.org/W2916737790","https://openalex.org/W4320902972","https://openalex.org/W4380144940","https://openalex.org/W393398260","https://openalex.org/W2389270825"],"abstract_inverted_index":{"Recent":[0],"years,":[1],"increasing":[2],"online":[3,105],"securities":[4],"companies":[5],"has":[6],"led":[7],"to":[8,68,92,131],"a":[9,38,89],"massive":[10],"increase":[11],"in":[12,17],"the":[13,69,80,116,138,141],"number":[14,71],"of":[15,43,72,97,140],"investing":[16],"stock":[18,51],"and":[19,35,40,121,135],"foreign":[20,128],"exchange":[21,75,84,98,122,129,146],"markets":[22],"by":[23,58,103],"individual":[24,27],"investors.":[25],"For":[26],"investors,":[28],"text":[29,60],"data":[30,61],"such":[31],"as":[32,62,64],"news":[33,106,119],"articles":[34,120],"websites":[36],"is":[37],"familiar":[39],"easy":[41],"source":[42],"information.":[44],"In":[45,108],"addition,":[46],"machine":[47,100],"learning":[48,101],"techniques":[49,102],"for":[50,82,145],"market":[52],"prediction":[53],"have":[54],"attracted":[55],"much":[56],"attention":[57],"using":[59,99],"well":[63],"numerical":[65],"data.":[66],"Due":[67],"small":[70],"studies":[73],"on":[74],"rates,":[76],"it":[77],"also":[78],"increases":[79],"demand":[81],"supporting":[83],"investment.":[85,147],"This":[86],"paper":[87],"introduces":[88],"novel":[90],"method":[91,113],"predict":[93],"short-term":[94],"price":[95],"movements":[96],"utilizing":[104],"articles.":[107],"this":[109],"work,":[110],"our":[111],"proposed":[112,142],"can":[114],"detect":[115],"relationships":[117],"between":[118],"rate":[123],"fluctuations.":[124],"Furthermore,":[125],"we":[126,136],"apply":[127],"forecasting":[130],"automatic":[132],"purchasing":[133],"systems,":[134],"verify":[137],"usefulness":[139],"methods":[143],"support":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}