{"id":"https://openalex.org/W3106669544","doi":"https://doi.org/10.1145/3428658.3431081","title":"Mining Portuguese Comparative Sentences in Online Reviews","display_name":"Mining Portuguese Comparative Sentences in Online Reviews","publication_year":2020,"publication_date":"2020-11-25","ids":{"openalex":"https://openalex.org/W3106669544","doi":"https://doi.org/10.1145/3428658.3431081","mag":"3106669544"},"language":"en","primary_location":{"id":"doi:10.1145/3428658.3431081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428658.3431081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Brazilian 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/A5072835017","display_name":"Daniel Kansaon","orcid":"https://orcid.org/0000-0001-5990-1629"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Daniel Kansaon","raw_affiliation_strings":["UFMG, Brasil"],"affiliations":[{"raw_affiliation_string":"UFMG, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054180602","display_name":"Michele A. Brand\u00e3o","orcid":"https://orcid.org/0000-0001-7808-9357"},"institutions":[{"id":"https://openalex.org/I140062455","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Minas Gerais","ror":"https://ror.org/0553w5c95","country_code":"BR","type":"education","lineage":["https://openalex.org/I1293487690","https://openalex.org/I140062455","https://openalex.org/I2801200668"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Michele A. Brand\u00e3o","raw_affiliation_strings":["IFMG, Brasil"],"affiliations":[{"raw_affiliation_string":"IFMG, Brasil","institution_ids":["https://openalex.org/I140062455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077142904","display_name":"J\u00falio C. S. Reis","orcid":"https://orcid.org/0000-0003-0563-0434"},"institutions":[{"id":"https://openalex.org/I1292114621","display_name":"Universidade Funda\u00e7\u00e3o Mineira de Educa\u00e7\u00e3o e Cultura","ror":"https://ror.org/013pajk64","country_code":"BR","type":"education","lineage":["https://openalex.org/I1292114621"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Julio C. S. Reis","raw_affiliation_strings":["UFMG/FUMEC, Brasil"],"affiliations":[{"raw_affiliation_string":"UFMG/FUMEC, Brasil","institution_ids":["https://openalex.org/I1292114621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085247364","display_name":"Matheus Barbosa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Matheus Barbosa","raw_affiliation_strings":["UFMG, Brasil"],"affiliations":[{"raw_affiliation_string":"UFMG, Brasil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000520670","display_name":"Breno Matos","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Breno Matos","raw_affiliation_strings":["UFMG, Brasil"],"affiliations":[{"raw_affiliation_string":"UFMG, Brasil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085054435","display_name":"Fabr\u00ed\u00adcio Benevenuto","orcid":"https://orcid.org/0000-0001-6875-6259"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabr\u00edcio Benevenuto","raw_affiliation_strings":["UFMG, Brasil"],"affiliations":[{"raw_affiliation_string":"UFMG, Brasil","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072835017"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15228565,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"333","last_page":"340"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.991100013256073,"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/T10028","display_name":"Topic Modeling","score":0.9901000261306763,"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/computer-science","display_name":"Computer science","score":0.7752299904823303},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.6356073021888733},{"id":"https://openalex.org/keywords/competitor-analysis","display_name":"Competitor analysis","score":0.6243608593940735},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.623011589050293},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.551313042640686},{"id":"https://openalex.org/keywords/portuguese","display_name":"Portuguese","score":0.5509896278381348},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5337212085723877},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5201740264892578},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.49106335639953613},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.47689011693000793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44983890652656555},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4177592396736145},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.19557499885559082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08252999186515808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752299904823303},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.6356073021888733},{"id":"https://openalex.org/C127576917","wikidata":"https://www.wikidata.org/wiki/Q624630","display_name":"Competitor analysis","level":2,"score":0.6243608593940735},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.623011589050293},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.551313042640686},{"id":"https://openalex.org/C35219183","wikidata":"https://www.wikidata.org/wiki/Q5146","display_name":"Portuguese","level":2,"score":0.5509896278381348},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5337212085723877},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5201740264892578},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.49106335639953613},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.47689011693000793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44983890652656555},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4177592396736145},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.19557499885559082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08252999186515808},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428658.3431081","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428658.3431081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Brazilian Symposium on Multimedia and the Web","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W147952312","https://openalex.org/W1490512328","https://openalex.org/W1660390307","https://openalex.org/W1988931981","https://openalex.org/W2013993544","https://openalex.org/W2020560992","https://openalex.org/W2039543580","https://openalex.org/W2053154970","https://openalex.org/W2084046180","https://openalex.org/W2085750684","https://openalex.org/W2097726431","https://openalex.org/W2164770916","https://openalex.org/W2242832409","https://openalex.org/W2267352514","https://openalex.org/W2562607067","https://openalex.org/W2612460881","https://openalex.org/W2616803411","https://openalex.org/W2735870966","https://openalex.org/W2739835834","https://openalex.org/W2774008574","https://openalex.org/W2926152456","https://openalex.org/W2967248088","https://openalex.org/W2979462246","https://openalex.org/W2987220306","https://openalex.org/W2990861252","https://openalex.org/W3165553112"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2399900321","https://openalex.org/W2902285665","https://openalex.org/W2975174210","https://openalex.org/W4200238620","https://openalex.org/W2244029015","https://openalex.org/W2287843335"],"abstract_inverted_index":{"The":[0],"constant":[1],"expansion":[2],"of":[3,28,65,70,80,99,233],"e-commerce,":[4],"recently":[5],"boosted":[6],"due":[7],"to":[8,14,35,54,127,157,198],"the":[9,33,51,62,109,147,220],"coronavirus":[10],"pandemic,":[11],"has":[12],"led":[13],"a":[15,40,66,91,122,133,154,191,211],"huge":[16],"increase":[17],"in":[18,116,222],"online":[19,26],"shopping.":[20],"More":[21],"and":[22,30,77,138,209,218],"more,":[23],"customers":[24],"demand":[25],"reviews":[27,71],"products":[29,100],"comments":[31],"on":[32,74],"Web":[34],"make":[36,199],"decisions":[37],"about":[38],"buying":[39],"product":[41,134],"over":[42],"another.":[43],"In":[44,104,150],"this":[45,105,184],"context,":[46],"sentiment":[47,143],"analysis":[48,69],"techniques":[49],"constitute":[50],"traditional":[52],"way":[53],"summarize":[55],"user's":[56],"opinions":[57,86],"that":[58,182],"criticizes":[59],"or":[60,93],"highlights":[61],"positive":[63,76,92],"aspects":[64,79,98],"product.":[67],"Sentiment":[68],"usually":[72],"relies":[73],"extracting":[75],"negative":[78,94],"products,":[81],"neglecting":[82],"comparative":[83,114,119,161,207],"opinions.":[84],"Such":[85],"do":[87],"not":[88],"directly":[89],"express":[90],"view":[95],"but":[96],"contrast":[97],"from":[101],"different":[102,223],"competitors.":[103],"paper,":[106],"we":[107,152],"present":[108,153],"first":[110],"effort":[111],"towards":[112],"detecting":[113,215],"sentences":[115,120,221],"Portuguese.":[117],"Identifying":[118],"is":[121,139],"key":[123],"task":[124],"for":[125,141,146,214],"companies":[126],"know":[128],"how":[129],"users":[130],"are":[131],"comparing":[132],"with":[135,195,206],"their":[136],"competitors":[137],"essential":[140],"developing":[142],"summarization":[144],"applications":[145],"end":[148],"user.":[149],"addition,":[151],"supervised":[155],"approach":[156,213],"automatically":[158],"detect":[159],"Portuguese":[160,192,204],"sentences,":[162],"classifying":[163],"them":[164],"into":[165],"five":[166],"distinct":[167],"groups:":[168],"(1)":[169,190],"Non-Comparative,":[170],"(2)":[171,201],"Non-Equal":[172],"Gradable,":[173],"(3)":[174,210],"Equative,":[175],"(4)":[176],"Superlative":[177],"e":[178],"(5)":[179],"Non-Gradable.":[180],"To":[181],"end,":[183],"paper":[185],"provides":[186],"three":[187],"main":[188],"contributions:":[189],"lexicon":[193],"list":[194],"words":[196],"used":[197],"comparisons;":[200],"two":[202],"new":[203],"datasets":[205],"sentences;":[208],"hierarchical":[212],"multiple":[216],"comparisons":[217],"classify":[219],"groups":[224],"by":[225],"using":[226],"state-of-art":[227],"classification":[228],"algorithms,":[229],"reaching":[230],"an":[231],"accuracy":[232],"87%.":[234]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}