{"id":"https://openalex.org/W2979462246","doi":"https://doi.org/10.1145/3323503.3349564","title":"The influence of tweets and news on the brazilian stock market through sentiment analysis","display_name":"The influence of tweets and news on the brazilian stock market through sentiment analysis","publication_year":2019,"publication_date":"2019-10-10","ids":{"openalex":"https://openalex.org/W2979462246","doi":"https://doi.org/10.1145/3323503.3349564","mag":"2979462246"},"language":"en","primary_location":{"id":"doi:10.1145/3323503.3349564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3323503.3349564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Brazillian Symposium on Multimedia and the Web","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/A5000978775","display_name":"Arthur Emanuel de Oliveira Carosia","orcid":"https://orcid.org/0000-0002-6277-0014"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Arthur E. de O. Carosia","raw_affiliation_strings":["University of Campinas (UNICAMP)"],"affiliations":[{"raw_affiliation_string":"University of Campinas (UNICAMP)","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008918749","display_name":"Guilherme Palermo Coelho","orcid":"https://orcid.org/0000-0002-4641-0684"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Guilherme P. Coelho","raw_affiliation_strings":["University of Campinas (UNICAMP)"],"affiliations":[{"raw_affiliation_string":"University of Campinas (UNICAMP)","institution_ids":["https://openalex.org/I181391015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045617515","display_name":"Ana Estela Antunes da Silva","orcid":"https://orcid.org/0000-0001-9886-3506"},"institutions":[{"id":"https://openalex.org/I181391015","display_name":"Universidade Estadual de Campinas (UNICAMP)","ror":"https://ror.org/04wffgt70","country_code":"BR","type":"education","lineage":["https://openalex.org/I181391015"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ana E. A. da Silva","raw_affiliation_strings":["University of Campinas (UNICAMP)"],"affiliations":[{"raw_affiliation_string":"University of Campinas (UNICAMP)","institution_ids":["https://openalex.org/I181391015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000978775"],"corresponding_institution_ids":["https://openalex.org/I181391015"],"apc_list":null,"apc_paid":null,"fwci":1.5845,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.84963024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9995999932289124,"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":0.9995999932289124,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9811999797821045,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9765999913215637,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8749799728393555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6195533275604248},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.6125004887580872},{"id":"https://openalex.org/keywords/stock-market","display_name":"Stock market","score":0.6093759536743164},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5958226323127747},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5158492922782898},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.5027086734771729},{"id":"https://openalex.org/keywords/stock","display_name":"Stock (firearms)","score":0.48287156224250793},{"id":"https://openalex.org/keywords/stock-market-prediction","display_name":"Stock market prediction","score":0.4712168276309967},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.44037196040153503},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.38558003306388855},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38407889008522034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34116673469543457},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2988923192024231},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10556954145431519},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.08510932326316833}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8749799728393555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6195533275604248},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.6125004887580872},{"id":"https://openalex.org/C2780299701","wikidata":"https://www.wikidata.org/wiki/Q475000","display_name":"Stock market","level":3,"score":0.6093759536743164},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5958226323127747},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5158492922782898},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.5027086734771729},{"id":"https://openalex.org/C204036174","wikidata":"https://www.wikidata.org/wiki/Q909380","display_name":"Stock (firearms)","level":2,"score":0.48287156224250793},{"id":"https://openalex.org/C2776256503","wikidata":"https://www.wikidata.org/wiki/Q7617906","display_name":"Stock market prediction","level":4,"score":0.4712168276309967},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.44037196040153503},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.38558003306388855},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38407889008522034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34116673469543457},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2988923192024231},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10556954145431519},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.08510932326316833},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3323503.3349564","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3323503.3349564","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th Brazillian Symposium on Multimedia and the Web","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":22,"referenced_works":["https://openalex.org/W19790595","https://openalex.org/W1569512666","https://openalex.org/W1952479354","https://openalex.org/W1992205670","https://openalex.org/W2004463884","https://openalex.org/W2030841861","https://openalex.org/W2039796390","https://openalex.org/W2050643653","https://openalex.org/W2066180975","https://openalex.org/W2131773668","https://openalex.org/W2166706824","https://openalex.org/W2171468534","https://openalex.org/W2293665115","https://openalex.org/W2401379394","https://openalex.org/W2548006041","https://openalex.org/W2550663623","https://openalex.org/W2746308373","https://openalex.org/W2762466482","https://openalex.org/W2790343801","https://openalex.org/W2885108704","https://openalex.org/W2892272393","https://openalex.org/W4236531915"],"related_works":["https://openalex.org/W2586556113","https://openalex.org/W2542516223","https://openalex.org/W3135178882","https://openalex.org/W2624043242","https://openalex.org/W3209908847","https://openalex.org/W3023530306","https://openalex.org/W2110351804","https://openalex.org/W1980850818","https://openalex.org/W2785399422","https://openalex.org/W2186813464"],"abstract_inverted_index":{"The":[0,48,155],"World":[1],"Wide":[2],"Web":[3],"(WWW)":[4],"is":[5,26],"one":[6],"of":[7,11,24,34,75,90,109,121,171],"the":[8,73,82,86,91,100,107,119,122,128,139,159,169,172,183],"main":[9],"sources":[10,97],"opinions":[12],"nowadays.":[13],"Whether":[14],"through":[15,42,127],"news":[16,76,112,162],"sites,":[17],"blogs":[18],"or":[19],"social":[20,78],"networks,":[21],"a":[22,31],"lot":[23],"information":[25,96],"available":[27],"to":[28,38,55,134,167,177,182],"explore.":[29],"Thus,":[30],"great":[32],"amount":[33],"applications":[35],"has":[36],"arisen":[37],"explore":[39],"this":[40,104],"knowledge":[41],"automatic":[43],"sentiment":[44,110,160],"and":[45,59,77,113,138,186],"opinion":[46],"extraction.":[47],"technique":[49],"known":[50,150],"as":[51,151],"Sentiment":[52,140],"Analysis":[53,141],"aims":[54],"analyze":[56],"opinions,":[57],"sentiments":[58],"emotions":[60],"present":[61],"in":[62,116],"unstructured":[63],"data.":[64],"Among":[65],"its":[66],"applications,":[67],"many":[68],"papers":[69],"have":[70,98],"been":[71],"addressing":[72],"impact":[74,92,108],"media":[79],"publications":[80],"on":[81,99,118],"financial":[83,101,173],"market.":[84,102],"However,":[85],"literature":[87],"lacks":[88],"comparisons":[89],"that":[93,158],"different":[94],"online":[95],"Therefore,":[103],"work":[105],"analyzes":[106],"from":[111,132,161],"tweets,":[114,178],"written":[115],"Portuguese,":[117],"movement":[120,170],"Brazilian":[123],"stock":[124],"market":[125,174],"(evaluated":[126],"Ibovespa":[129],"index).":[130],"Data":[131],"01-Jan-2019":[133],"31-Mar-2019":[135],"were":[136],"considered":[137],"was":[142],"made":[143],"with":[144,180],"an":[145],"Artificial":[146],"Neural":[147],"Network":[148],"architecture":[149],"Multilayer":[152],"Perceptron":[153],"(MLP).":[154],"results":[156],"indicate":[157],"can":[163],"be":[164],"more":[165],"accurate":[166],"forecast":[168],"when":[175],"compared":[176],"both":[179],"respect":[181],"opening":[184],"prices":[185],"transaction":[187],"volume.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
