{"id":"https://openalex.org/W4392254231","doi":"https://doi.org/10.1145/3639479.3639508","title":"Clustering Social Media Data for Bitcoin Price Prediction with Transformer Model","display_name":"Clustering Social Media Data for Bitcoin Price Prediction with Transformer Model","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4392254231","doi":"https://doi.org/10.1145/3639479.3639508"},"language":"en","primary_location":{"id":"doi:10.1145/3639479.3639508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639508","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094024818","display_name":"Yajing Zhi","orcid":"https://orcid.org/0009-0009-7593-2447"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yajing Zhi","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0009-7593-2447","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018708584","display_name":"T-H. Hubert Chan","orcid":"https://orcid.org/0000-0002-8340-235X"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"T-H. Hubert Chan","raw_affiliation_strings":["Department of Computer Science, The University of Hong Kong, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0002-8340-235X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33279163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7787892818450928},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7470151782035828},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6690130829811096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6686884164810181},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6075453758239746},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4813128709793091},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4569843113422394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3845904469490051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33868351578712463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17408546805381775},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1203012764453888},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11354461312294006}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7787892818450928},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7470151782035828},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6690130829811096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6686884164810181},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6075453758239746},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4813128709793091},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4569843113422394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3845904469490051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33868351578712463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17408546805381775},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1203012764453888},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11354461312294006},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3639479.3639508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3639479.3639508","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3639479.3639508","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3639479.3639508","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 6th International Conference on Machine Learning and Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6930945300","display_name":null,"funder_award_id":"17203122","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392254231.pdf","grobid_xml":"https://content.openalex.org/works/W4392254231.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W1988301066","https://openalex.org/W2089497633","https://openalex.org/W2090898720","https://openalex.org/W2895641385","https://openalex.org/W2951794749","https://openalex.org/W2967732991","https://openalex.org/W3035414307","https://openalex.org/W3037583678","https://openalex.org/W3090283437","https://openalex.org/W4211150206","https://openalex.org/W4244075810","https://openalex.org/W4293879934"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,16,28,36,58,61,82,112,122,137,146],"integration":[4],"of":[5,30,60,93,114,117,133,139],"social":[6,32,47,84,106,118,142],"media":[7,33,48,85,107,119,143],"data":[8,34,86,98,108,120,144],"and":[9,35,50,68,145],"natural":[10],"language":[11],"processing":[12],"methods,":[13],"specifically":[14],"utilizing":[15],"Transformer":[17,37,62,123,147],"model,":[18],"to":[19,26,80,104,127],"predict":[20],"Bitcoin":[21,72],"price":[22],"movements.":[23],"We":[24],"aim":[25],"evaluate":[27],"effectiveness":[29],"using":[31],"model":[38,124,148],"in":[39,64,87],"forecasting":[40,150],"market":[41,151],"trends":[42],"for":[43,149],"Bitcoin.":[44],"By":[45],"analyzing":[46],"posts":[49],"incorporating":[51,115],"them":[52],"into":[53,121],"predictive":[54,101],"models,":[55],"we":[56],"demonstrate":[57,136],"potential":[59,138],"architecture":[63],"capturing":[65],"complex":[66],"dependencies":[67],"patterns":[69],"within":[70],"sequential":[71],"prices.":[73],"Additionally,":[74],"different":[75],"clustering":[76,109,140],"methods":[77],"are":[78],"applied":[79],"process":[81],"original":[83],"a":[88],"rolling":[89],"manner.":[90],"The":[91,131],"evaluation":[92],"Transformer-based":[94],"models":[95],"on":[96,141],"historical":[97],"showcases":[99],"their":[100],"performance":[102],"compared":[103],"various":[105],"approaches.":[110],"Furthermore,":[111],"impact":[113],"outliers":[116],"is":[125],"explored":[126],"improve":[128],"prediction":[129],"accuracy.":[130],"results":[132],"this":[134],"study":[135],"trends.1":[152]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}
