{"id":"https://openalex.org/W2970406759","doi":"https://doi.org/10.1142/s0219622019500305","title":"Social Media Cross-Source and Cross-Domain Sentiment Classification","display_name":"Social Media Cross-Source and Cross-Domain Sentiment Classification","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970406759","doi":"https://doi.org/10.1142/s0219622019500305","mag":"2970406759"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622019500305","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622019500305","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/1822/62770","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005727566","display_name":"Paola Zola","orcid":"https://orcid.org/0000-0001-5956-5389"},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Paola Zola","raw_affiliation_strings":["Department of Economy and Management, University of Brescia, 25121, Brescia C.da S. Chiara, 50, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economy and Management, University of Brescia, 25121, Brescia C.da S. Chiara, 50, Italy","institution_ids":["https://openalex.org/I79940851"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077829125","display_name":"Paulo Cortez","orcid":"https://orcid.org/0000-0002-7991-2090"},"institutions":[{"id":"https://openalex.org/I99682543","display_name":"University of Minho","ror":"https://ror.org/037wpkx04","country_code":"PT","type":"education","lineage":["https://openalex.org/I99682543"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Cortez","raw_affiliation_strings":["ALGORITMI Centre, Department of Information Systems, University of Minho, 4804-533, Guimar\u00e3es, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ALGORITMI Centre, Department of Information Systems, University of Minho, 4804-533, Guimar\u00e3es, Portugal","institution_ids":["https://openalex.org/I99682543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069731461","display_name":"Costantino Ragno","orcid":null},"institutions":[{"id":"https://openalex.org/I112859197","display_name":"Universit\u00e0 di Camerino","ror":"https://ror.org/0005w8d69","country_code":"IT","type":"education","lineage":["https://openalex.org/I112859197"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Costantino Ragno","raw_affiliation_strings":["School of Science and Technology, University of Camerino, Camerino, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Science and Technology, University of Camerino, Camerino, Italy","institution_ids":["https://openalex.org/I112859197"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028238664","display_name":"Eugenio Brentari","orcid":null},"institutions":[{"id":"https://openalex.org/I79940851","display_name":"University of Brescia","ror":"https://ror.org/02q2d2610","country_code":"IT","type":"education","lineage":["https://openalex.org/I79940851"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Eugenio Brentari","raw_affiliation_strings":["Department of Economy and Management, University of Brescia, 25121, Brescia C.da S. Chiara, 50, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economy and Management, University of Brescia, 25121, Brescia C.da S. Chiara, 50, Italy","institution_ids":["https://openalex.org/I79940851"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005727566"],"corresponding_institution_ids":["https://openalex.org/I79940851"],"apc_list":null,"apc_paid":null,"fwci":1.5969,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.87902589,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"18","issue":"05","first_page":"1469","last_page":"1499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9973000288009644,"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":0.8098924160003662},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6994010210037231},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6345704793930054},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6320486068725586},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5595653057098389},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5462401509284973},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5121042728424072},{"id":"https://openalex.org/keywords/undersampling","display_name":"Undersampling","score":0.49021273851394653},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4183652698993683},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39502590894699097},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3774629235267639},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2182159125804901}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098924160003662},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6994010210037231},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6345704793930054},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6320486068725586},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5595653057098389},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5462401509284973},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5121042728424072},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.49021273851394653},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4183652698993683},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39502590894699097},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3774629235267639},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2182159125804901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1142/s0219622019500305","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622019500305","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:18:y:2019:i:05:n:s0219622019500305","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622019500305","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:iris.unibs.it:11379/528312","is_oa":false,"landing_page_url":"http://hdl.handle.net/11379/528312","pdf_url":null,"source":{"id":"https://openalex.org/S4306400804","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Brescia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/62770","is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/62770","pdf_url":null,"source":{"id":"https://openalex.org/S4306400354","display_name":"Reposit\u00f3riUM (Universidade do Minho)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99682543","host_organization_name":"University of Minho","host_organization_lineage":["https://openalex.org/I99682543"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},{"id":"pmh:oai:repositorium.uminho.pt:1822/62770","is_oa":true,"landing_page_url":"https://hdl.handle.net/1822/62770","pdf_url":null,"source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:repositorium.sdum.uminho.pt:1822/62770","is_oa":true,"landing_page_url":"http://hdl.handle.net/1822/62770","pdf_url":null,"source":{"id":"https://openalex.org/S4306400354","display_name":"Reposit\u00f3riUM (Universidade do Minho)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I99682543","host_organization_name":"University of Minho","host_organization_lineage":["https://openalex.org/I99682543"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"journal article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W252878706","https://openalex.org/W1490960179","https://openalex.org/W1563088657","https://openalex.org/W1570448133","https://openalex.org/W1572786359","https://openalex.org/W1574901103","https://openalex.org/W1578517626","https://openalex.org/W1607035479","https://openalex.org/W1608357024","https://openalex.org/W1832693441","https://openalex.org/W1921945595","https://openalex.org/W1970592556","https://openalex.org/W1993220166","https://openalex.org/W2032369208","https://openalex.org/W2040467972","https://openalex.org/W2044429219","https://openalex.org/W2044933868","https://openalex.org/W2095705004","https://openalex.org/W2115023510","https://openalex.org/W2118027802","https://openalex.org/W2138854216","https://openalex.org/W2148122886","https://openalex.org/W2149684865","https://openalex.org/W2153353890","https://openalex.org/W2158698691","https://openalex.org/W2165698076","https://openalex.org/W2166706824","https://openalex.org/W2250539671","https://openalex.org/W2251400573","https://openalex.org/W2251803266","https://openalex.org/W2297801999","https://openalex.org/W2306706380","https://openalex.org/W2499811908","https://openalex.org/W2521581510","https://openalex.org/W2566234880","https://openalex.org/W2600077159","https://openalex.org/W2603666613","https://openalex.org/W2604141036","https://openalex.org/W2612649659","https://openalex.org/W2613680009","https://openalex.org/W2687524069","https://openalex.org/W2751040599","https://openalex.org/W2767617828","https://openalex.org/W2769367994","https://openalex.org/W2778255916","https://openalex.org/W2789132801","https://openalex.org/W2790828713","https://openalex.org/W2858620482","https://openalex.org/W2895715183","https://openalex.org/W2901288482","https://openalex.org/W2901405036","https://openalex.org/W2905539660","https://openalex.org/W2914942835","https://openalex.org/W2919115771","https://openalex.org/W2934734939","https://openalex.org/W2962739339","https://openalex.org/W2963463240","https://openalex.org/W2964046515","https://openalex.org/W2999905431","https://openalex.org/W4211186029","https://openalex.org/W4233906183","https://openalex.org/W4242282208","https://openalex.org/W4244024349","https://openalex.org/W4285719527","https://openalex.org/W4299359176","https://openalex.org/W4299828299"],"related_works":["https://openalex.org/W2109073422","https://openalex.org/W2887783772","https://openalex.org/W2101754595","https://openalex.org/W2534887053","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Due":[0],"to":[1,43,116],"the":[2],"expansion":[3],"of":[4,18],"Internet":[5],"and":[6,39,63,77,87,97,113,129],"Web":[7,36],"2.0":[8],"phenomenon,":[9],"there":[10],"is":[11,121],"a":[12,27,67,98,118],"growing":[13],"interest":[14],"in":[15,33,70,108],"sentiment":[16,31],"analysis":[17],"freely":[19],"opinionated":[20],"text.":[21],"In":[22],"this":[23],"paper,":[24],"we":[25],"propose":[26],"novel":[28],"cross-source":[29,103],"cross-domain":[30],"classification,":[32],"which":[34,71],"cross-domain-labeled":[35],"sources":[37],"(Amazon":[38],"Tripadvisor)":[40],"are":[41,54],"used":[42],"train":[44,117],"supervised":[45],"learning":[46,51,79],"models":[47],"(including":[48],"two":[49,84],"deep":[50],"algorithms)":[52],"that":[53,120],"tested":[55,122],"on":[56,123],"typically":[57],"nonlabeled":[58],"social":[59],"media":[60],"reviews":[61,115],"(Facebook":[62],"Twitter).":[64],"We":[65],"explored":[66],"three-step":[68],"methodology,":[69],"distinct":[72],"balanced":[73],"training,":[74],"text":[75],"preprocessing":[76],"machine":[78],"methods":[80],"were":[81,92,106],"tested,":[82],"using":[83,94,111],"languages:":[85],"English":[86,128],"Italian.":[88,130],"The":[89],"best":[90],"results":[91],"achieved":[93],"undersampling":[95],"training":[96],"Convolutional":[99],"Neural":[100],"Network.":[101],"Interesting":[102],"classification":[104],"performances":[105],"achieved,":[107],"particular":[109],"when":[110],"Amazon":[112],"Tripadvisor":[114],"model":[119],"Facebook":[124],"data":[125],"for":[126],"both":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":7}],"updated_date":"2026-05-03T08:25:01.440150","created_date":"2025-10-10T00:00:00"}