{"id":"https://openalex.org/W2006686259","doi":"https://doi.org/10.1109/cason.2012.6412377","title":"Automatic sentiment analysis of Twitter messages","display_name":"Automatic sentiment analysis of Twitter messages","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2006686259","doi":"https://doi.org/10.1109/cason.2012.6412377","mag":"2006686259"},"language":"en","primary_location":{"id":"doi:10.1109/cason.2012.6412377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cason.2012.6412377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","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/A5084032640","display_name":"Ana Carolina E. S. Lima","orcid":"https://orcid.org/0000-0001-8735-1054"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Ana C. E. S. Lima","raw_affiliation_strings":["Natural Computing Laboratory, Mackenzie Presbyterian University, Sao Paulo, Brazil","Natural Computing Laboratory, Mackenzie Presbyterian University, S\u00e0o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Natural Computing Laboratory, Mackenzie Presbyterian University, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]},{"raw_affiliation_string":"Natural Computing Laboratory, Mackenzie Presbyterian University, S\u00e0o Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036119057","display_name":"Leandro Nunes de Castro","orcid":"https://orcid.org/0000-0003-3409-4589"},"institutions":[{"id":"https://openalex.org/I18167132","display_name":"Universidade Presbiteriana Mackenzie","ror":"https://ror.org/006nc8n95","country_code":"BR","type":"education","lineage":["https://openalex.org/I18167132"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Leandro N. de Castro","raw_affiliation_strings":["Natural Computing Laboratory, Mackenzie Presbyterian University, Sao Paulo, Brazil","Natural Computing Laboratory, Mackenzie Presbyterian University, S\u00e0o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"Natural Computing Laboratory, Mackenzie Presbyterian University, Sao Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]},{"raw_affiliation_string":"Natural Computing Laboratory, Mackenzie Presbyterian University, S\u00e0o Paulo, Brazil","institution_ids":["https://openalex.org/I18167132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084032640"],"corresponding_institution_ids":["https://openalex.org/I18167132"],"apc_list":null,"apc_paid":null,"fwci":5.9941,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96075248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"52","last_page":"57"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9934999942779541,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9890999794006348,"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/microblogging","display_name":"Microblogging","score":0.8470737934112549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8358936905860901},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7470760941505432},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6559081077575684},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.631858766078949},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6100208759307861},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5331385135650635},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.43057191371917725},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.42052894830703735},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4152255654335022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39823731780052185},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33319294452667236},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.25953763723373413},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07884496450424194}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.8470737934112549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8358936905860901},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7470760941505432},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6559081077575684},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.631858766078949},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6100208759307861},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5331385135650635},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.43057191371917725},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.42052894830703735},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4152255654335022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39823731780052185},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33319294452667236},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25953763723373413},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07884496450424194},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cason.2012.6412377","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cason.2012.6412377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Fourth International Conference on Computational Aspects of Social Networks (CASoN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1524868848","https://openalex.org/W1663587272","https://openalex.org/W2010502624","https://openalex.org/W2035265584","https://openalex.org/W2097726431","https://openalex.org/W2101196063","https://openalex.org/W2144378002","https://openalex.org/W2245729582","https://openalex.org/W2533002054","https://openalex.org/W2544530537","https://openalex.org/W3147292827","https://openalex.org/W4205184193","https://openalex.org/W4213009331","https://openalex.org/W4251036056","https://openalex.org/W4285719527","https://openalex.org/W6631263967","https://openalex.org/W6636808696","https://openalex.org/W6806696092"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2000169967","https://openalex.org/W1540611520"],"abstract_inverted_index":{"Twitter\u00ae":[0],"is":[1,107],"a":[2,54,77,93,171,178],"microblogging":[3],"service":[4,27],"usually":[5,91],"used":[6,66],"as":[7,53,67],"an":[8,127,190],"instant":[9],"communication":[10],"platform.":[11],"The":[12,60,143,186],"capacity":[13],"to":[14,24,28,75,80,87,97,170],"provide":[15],"information":[16,52],"in":[17,177],"real":[18,118],"time":[19,113,119],"has":[20],"stimulated":[21],"many":[22],"companies":[23],"use":[25,50],"this":[26,33],"understand":[29],"their":[30,47,58],"consumers.":[31],"In":[32],"direction,":[34],"TV":[35,136,173],"stations":[36,140],"have":[37],"adopted":[38],"Twitter":[39,132],"for":[40,57,121,131,141],"shortening":[41],"the":[42,81,84,99,105,111,152,157,162,165,184],"distance":[43],"between":[44],"them":[45],"and":[46,49,115,134,154,181],"viewers,":[48],"such":[51,69],"feedback":[55,70],"mechanism":[56],"shows.":[59],"sentiment":[61,82,129,145],"analysis":[62,146],"task":[63,73],"can":[64],"be":[65],"one":[68],"mechanism.":[71],"This":[72,124],"corresponds":[74],"classifying":[76],"text":[78],"according":[79],"that":[83],"writer":[85],"intended":[86],"transmit.":[88],"A":[89],"classifier":[90,130],"requires":[92],"pre-classifled":[94],"data":[95],"sample":[96,106],"determine":[98],"class":[100],"of":[101,156,164,193],"new":[102],"data.":[103,123],"Typically,":[104],"pre-classified":[108],"manually,":[109],"making":[110],"process":[112],"consuming":[114],"reducing":[116],"its":[117],"applicability":[120],"big":[122],"paper":[125],"proposes":[126],"automatic":[128,144],"messages,":[133],"uses":[135],"shows":[137],"from":[138],"Brazilian":[139,172],"benchmarking.":[142],"reduces":[147],"human":[148],"intervention":[149],"and,":[150],"thus,":[151],"complexity":[153],"cost":[155],"whole":[158],"process.":[159],"To":[160],"assess":[161],"performance":[163],"proposed":[166,187],"system":[167],"tweets":[168],"related":[169],"show":[174],"were":[175],"captured":[176],"24h":[179],"interval":[180],"fed":[182],"into":[183],"system.":[185],"technique":[188],"achieved":[189],"average":[191],"accuracy":[192],"90%.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
