{"id":"https://openalex.org/W3007471723","doi":"https://doi.org/10.1109/bigdata47090.2019.9006554","title":"KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments","display_name":"KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3007471723","doi":"https://doi.org/10.1109/bigdata47090.2019.9006554","mag":"3007471723"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata47090.2019.9006554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","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/A5035707790","display_name":"Shubhankar Mohapatra","orcid":"https://orcid.org/0000-0002-8523-3019"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shubhankar Mohapatra","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032731280","display_name":"Nauman Ahmed","orcid":"https://orcid.org/0000-0003-1742-585X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nauman Ahmed","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062293699","display_name":"Paulo Alencar","orcid":"https://orcid.org/0009-0006-2885-0009"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paulo Alencar","raw_affiliation_strings":["Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"Cheriton School of Computer Science, University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035707790"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":5.3476,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.95821541,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5544","last_page":"5551"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9997000098228455,"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":0.9997000098228455,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9984999895095825,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9957000017166138,"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/cryptocurrency","display_name":"Cryptocurrency","score":0.814070463180542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.810613751411438},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6184782385826111},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5298846960067749},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.495547890663147},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4455210566520691},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.4319016933441162},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4267200231552124},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41108500957489014},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3698890507221222},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34865662455558777},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3098164200782776},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27090612053871155},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.2465636432170868},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22326460480690002},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.211409330368042}],"concepts":[{"id":"https://openalex.org/C180706569","wikidata":"https://www.wikidata.org/wiki/Q13479982","display_name":"Cryptocurrency","level":2,"score":0.814070463180542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.810613751411438},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6184782385826111},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5298846960067749},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.495547890663147},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4455210566520691},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.4319016933441162},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4267200231552124},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41108500957489014},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3698890507221222},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34865662455558777},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3098164200782776},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27090612053871155},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.2465636432170868},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22326460480690002},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.211409330368042},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/bigdata47090.2019.9006554","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata47090.2019.9006554","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W33891176","https://openalex.org/W1259090559","https://openalex.org/W2019549672","https://openalex.org/W2099813784","https://openalex.org/W2133469585","https://openalex.org/W2171468534","https://openalex.org/W2295598076","https://openalex.org/W2727968912","https://openalex.org/W2785314999","https://openalex.org/W2788790878","https://openalex.org/W2883224304","https://openalex.org/W2892035503","https://openalex.org/W2907275872","https://openalex.org/W2919932540","https://openalex.org/W2950376465","https://openalex.org/W2997193501","https://openalex.org/W3102476541","https://openalex.org/W3122944446","https://openalex.org/W3122944925","https://openalex.org/W3201426476","https://openalex.org/W6655374992","https://openalex.org/W6675143072","https://openalex.org/W6748525034","https://openalex.org/W6753312809","https://openalex.org/W6757702470","https://openalex.org/W6760245177"],"related_works":["https://openalex.org/W4366411693","https://openalex.org/W3211641817","https://openalex.org/W3164717803","https://openalex.org/W4389915954","https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W2957710009","https://openalex.org/W3115531728"],"abstract_inverted_index":{"Cryptocurrencies,":[0],"such":[1,18],"as":[2,12,19],"Bitcoin,":[3],"are":[4],"becoming":[5],"increasingly":[6],"popular,":[7],"having":[8],"been":[9,29],"widely":[10],"used":[11],"an":[13,126,171],"exchange":[14],"medium":[15],"in":[16,61,118,143,155],"areas":[17],"financial":[20,207],"transaction":[21],"and":[22,59,64,76,88,100,121,146,167,182,196,205,210],"asset":[23],"transfer":[24],"verification.":[25],"However,":[26],"there":[27],"has":[28],"a":[30,85,107,119,148,157],"lack":[31],"of":[32,68,115,138],"solutions":[33],"that":[34,128],"can":[35,133,189],"support":[36],"real-time":[37,66,87],"price":[38,75,91],"prediction":[39,92],"to":[40,71,135,162],"cope":[41,72,163],"with":[42,73,164],"high":[43],"currency":[44],"volatility,":[45],"handle":[46],"massive":[47],"heterogeneous":[48],"data":[49,117,208],"volumes,":[50],"including":[51],"social":[52],"media":[53],"sentiments,":[54],"while":[55],"supporting":[56],"fault":[57,122],"tolerance":[58],"persistence":[60],"real":[62,144],"time,":[63],"provide":[65,197],"adaptation":[67],"learning":[69,154],"algorithms":[70],"new":[74,165,194],"sentiment":[77,130],"data.":[78],"In":[79],"this":[80],"paper":[81,175],"we":[82],"introduce":[83],"KryptoOracle,":[84],"novel":[86],"adaptive":[89],"cryptocurrency":[90],"platform":[93,102,180,188],"based":[94,104,201],"on":[95,105,152,202],"Twitter":[96],"sentiments.":[97,168],"The":[98],"integrative":[99],"modular":[101],"is":[103],"(i)":[106],"Spark-based":[108],"architecture":[109],"which":[110,132,156],"handles":[111],"the":[112,174,178,186,203],"large":[113,136],"volume":[114,209],"incoming":[116],"persistent":[120],"tolerant":[123],"way;":[124],"(ii)":[125],"approach":[127],"supports":[129],"analysis":[131],"respond":[134],"amounts":[137],"natural":[139],"language":[140],"processing":[141],"queries":[142],"time;":[145],"(iii)":[147],"predictive":[149],"method":[150],"grounded":[151],"online":[153],"model":[158],"adapts":[159],"its":[160],"weights":[161],"prices":[166],"Besides":[169],"providing":[170],"architectural":[172],"design,":[173],"also":[176],"describes":[177],"KryptoOracle":[179],"implementation":[181],"experimental":[183],"evaluation.":[184],"Overall,":[185],"proposed":[187],"help":[190],"accelerate":[191],"decision-making,":[192],"uncover":[193],"opportunities":[195],"more":[198],"timely":[199],"insights":[200],"available":[204],"ever-larger":[206],"variety.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
