{"id":"https://openalex.org/W2107377023","doi":"https://doi.org/10.1145/2502069.2502071","title":"Combining strengths, emotions and polarities for boosting Twitter sentiment analysis","display_name":"Combining strengths, emotions and polarities for boosting Twitter sentiment analysis","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2107377023","doi":"https://doi.org/10.1145/2502069.2502071","mag":"2107377023"},"language":"en","primary_location":{"id":"doi:10.1145/2502069.2502071","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502069.2502071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/10289/10763","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047767877","display_name":"Felipe Bravo-M\u00e1rquez","orcid":"https://orcid.org/0000-0002-2153-4306"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":true,"raw_author_name":"Felipe Bravo-Marquez","raw_affiliation_strings":["University of Chile, Chile","University of Chile; Chile"],"affiliations":[{"raw_affiliation_string":"University of Chile, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"University of Chile; Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033526663","display_name":"Marcelo Mendoza","orcid":"https://orcid.org/0000-0002-7969-6041"},"institutions":[{"id":"https://openalex.org/I75778554","display_name":"Federico Santa Mar\u00eda Technical University","ror":"https://ror.org/05510vn56","country_code":"CL","type":"education","lineage":["https://openalex.org/I75778554"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Marcelo Mendoza","raw_affiliation_strings":["Universidad T\u00e9cnica Federico, Santa Mar\u00eda, Chile"],"affiliations":[{"raw_affiliation_string":"Universidad T\u00e9cnica Federico, Santa Mar\u00eda, Chile","institution_ids":["https://openalex.org/I75778554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009958753","display_name":"B\u00e1rbara Poblete","orcid":"https://orcid.org/0000-0002-7669-645X"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Barbara Poblete","raw_affiliation_strings":["University of Chile, Chile","University of Chile; Chile"],"affiliations":[{"raw_affiliation_string":"University of Chile, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"University of Chile; Chile","institution_ids":["https://openalex.org/I69737025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047767877"],"corresponding_institution_ids":["https://openalex.org/I69737025"],"apc_list":null,"apc_paid":null,"fwci":20.264,"has_fulltext":true,"cited_by_count":131,"citation_normalized_percentile":{"value":0.99345992,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"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/T10028","display_name":"Topic Modeling","score":0.996999979019165,"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":0.9958999752998352,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.9568460583686829},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7209146618843079},{"id":"https://openalex.org/keywords/polarity","display_name":"Polarity (international relations)","score":0.5966055393218994},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.549094557762146},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.4925421178340912},{"id":"https://openalex.org/keywords/subjectivity","display_name":"Subjectivity","score":0.4762806296348572},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.47284892201423645},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4518997371196747},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4517013132572174},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43909522891044617},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4001893103122711},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18974637985229492},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1843114197254181},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.07612505555152893}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9568460583686829},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7209146618843079},{"id":"https://openalex.org/C2777361361","wikidata":"https://www.wikidata.org/wiki/Q1112585","display_name":"Polarity (international relations)","level":3,"score":0.5966055393218994},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.549094557762146},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.4925421178340912},{"id":"https://openalex.org/C202889954","wikidata":"https://www.wikidata.org/wiki/Q1139554","display_name":"Subjectivity","level":2,"score":0.4762806296348572},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.47284892201423645},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4518997371196747},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4517013132572174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43909522891044617},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4001893103122711},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18974637985229492},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1843114197254181},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.07612505555152893},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C1491633281","wikidata":"https://www.wikidata.org/wiki/Q7868","display_name":"Cell","level":2,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2502069.2502071","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2502069.2502071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second International Workshop on Issues of Sentiment Discovery and Opinion Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:researchcommons.waikato.ac.nz:10289/10763","is_oa":true,"landing_page_url":"https://hdl.handle.net/10289/10763","pdf_url":"https://hdl.handle.net/10289/10763","source":{"id":"https://openalex.org/S4306400944","display_name":"Research Commons (University of Waikato)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52179390","host_organization_name":"University of Waikato","host_organization_lineage":["https://openalex.org/I52179390"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Contribution"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.723.1213","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.723.1213","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.waikato.ac.nz/%7Efjb11/publications/wisdom2013.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:researchcommons.waikato.ac.nz:10289/10763","is_oa":true,"landing_page_url":"https://hdl.handle.net/10289/10763","pdf_url":"https://hdl.handle.net/10289/10763","source":{"id":"https://openalex.org/S4306400944","display_name":"Research Commons (University of Waikato)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52179390","host_organization_name":"University of Waikato","host_organization_lineage":["https://openalex.org/I52179390"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Contribution"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6197322370","display_name":null,"funder_award_id":"FONDECYT","funder_id":"https://openalex.org/F4320334812","funder_display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica"},{"id":"https://openalex.org/G7712076073","display_name":null,"funder_award_id":"11121511","funder_id":"https://openalex.org/F4320334812","funder_display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica"}],"funders":[{"id":"https://openalex.org/F4320323458","display_name":"Universidad de Chile","ror":"https://ror.org/047gc3g35"},{"id":"https://openalex.org/F4320334812","display_name":"Comisi\u00f3n Nacional de Investigaci\u00f3n Cient\u00edfica y Tecnol\u00f3gica","ror":"https://ror.org/02ap3w078"},{"id":"https://openalex.org/F4320338106","display_name":"Fondo de Fomento al Desarrollo Cient\u00edfico y Tecnol\u00f3gico","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2107377023.pdf","grobid_xml":"https://content.openalex.org/works/W2107377023.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W38739846","https://openalex.org/W40549020","https://openalex.org/W193524605","https://openalex.org/W1495061682","https://openalex.org/W1607035479","https://openalex.org/W1987425720","https://openalex.org/W1991224572","https://openalex.org/W2022204871","https://openalex.org/W2034120077","https://openalex.org/W2040467972","https://openalex.org/W2091084672","https://openalex.org/W2097726431","https://openalex.org/W2102381086","https://openalex.org/W2108646579","https://openalex.org/W2111975591","https://openalex.org/W2113125055","https://openalex.org/W2134169864","https://openalex.org/W2137527984","https://openalex.org/W2224584170","https://openalex.org/W2250243742","https://openalex.org/W2252222520","https://openalex.org/W2267835966","https://openalex.org/W2395693197","https://openalex.org/W2405490108","https://openalex.org/W2460474657","https://openalex.org/W2551535154","https://openalex.org/W2612769033","https://openalex.org/W3147292827","https://openalex.org/W4205184193","https://openalex.org/W4285719527","https://openalex.org/W4299483585"],"related_works":["https://openalex.org/W2392615731","https://openalex.org/W2380604072","https://openalex.org/W2376320687","https://openalex.org/W4383890670","https://openalex.org/W4256356876","https://openalex.org/W2291261743","https://openalex.org/W2394235543","https://openalex.org/W2373226572","https://openalex.org/W2343691239","https://openalex.org/W1984947604"],"abstract_inverted_index":{"Twitter":[0,94,136],"sentiment":[1,76,95,99,118,130,137],"analysis":[2,119],"or":[3,45],"the":[4,18,127],"task":[5],"of":[6,32,66,129],"automatically":[7],"retrieving":[8],"opinions":[9],"from":[10,17,77],"tweets":[11],"has":[12],"received":[13],"an":[14,90],"increasing":[15],"interest":[16],"web":[19],"mining":[20],"community.":[21],"This":[22],"is":[23],"due":[24],"to":[25,58,74],"its":[26],"importance":[27],"in":[28,135],"a":[29],"wide":[30],"range":[31],"fields":[33],"such":[34,107,140],"as":[35,101,108,141],"business":[36],"and":[37,50,62,68,112,121,143],"politics.":[38],"People":[39],"express":[40],"sentiments":[41,54],"about":[42],"specific":[43],"topics":[44],"entities":[46],"with":[47],"different":[48,82,98],"strengths":[49],"intensities,":[51],"where":[52],"these":[53],"are":[55],"strongly":[56],"related":[57],"their":[59],"personal":[60],"feelings":[61],"emotions.":[63],"A":[64],"number":[65],"methods":[67,120],"lexical":[69],"resources":[70],"have":[71],"been":[72],"proposed":[73],"analyze":[75],"natural":[78],"language":[79],"texts,":[80],"addressing":[81],"opinion":[83,109],"dimensions.":[84],"In":[85],"this":[86],"article,":[87],"we":[88],"propose":[89],"approach":[91],"for":[92],"boosting":[93],"classification":[96,138],"using":[97],"dimensions":[100,131],"meta-level":[102],"features.":[103],"We":[104],"combine":[105],"aspects":[106],"strength,":[110],"emotion":[111],"polarity":[113,142],"indicators,":[114],"generated":[115],"by":[116],"existing":[117],"resources.":[122],"Our":[123],"research":[124],"shows":[125],"that":[126],"combination":[128],"provides":[132],"significant":[133],"improvement":[134],"tasks":[139],"subjectivity.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":21},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":16},{"year":2015,"cited_by_count":17},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
