{"id":"https://openalex.org/W4388625401","doi":"https://doi.org/10.1155/2023/3668960","title":"Multistream BertGCN for Sentiment Classification Based on Cross-Document Learning","display_name":"Multistream BertGCN for Sentiment Classification Based on Cross-Document Learning","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4388625401","doi":"https://doi.org/10.1155/2023/3668960"},"language":"en","primary_location":{"id":"doi:10.1155/2023/3668960","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/3668960","pdf_url":"https://downloads.hindawi.com/journals/que/2023/3668960.pdf","source":{"id":"https://openalex.org/S4210208943","display_name":"Quantum Engineering","issn_l":"2577-0470","issn":["2577-0470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/que/2023/3668960.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100457569","display_name":"Meng Li","orcid":"https://orcid.org/0000-0003-3497-4391"},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Li","raw_affiliation_strings":["College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China","institution_ids":["https://openalex.org/I113992204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088092853","display_name":"Y Xie","orcid":"https://orcid.org/0000-0002-9527-1422"},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujin Xie","raw_affiliation_strings":["College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China","institution_ids":["https://openalex.org/I113992204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012256389","display_name":"Weifeng Yang","orcid":"https://orcid.org/0000-0001-6061-3915"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Yang","raw_affiliation_strings":["Alibaba Group, Hangzhou, Zhejiang 311121, China"],"affiliations":[{"raw_affiliation_string":"Alibaba Group, Hangzhou, Zhejiang 311121, China","institution_ids":["https://openalex.org/I45928872"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083411640","display_name":"Shenyu Chen","orcid":"https://orcid.org/0000-0002-0462-6727"},"institutions":[{"id":"https://openalex.org/I113992204","display_name":"Hebei University of Economics and Business","ror":"https://ror.org/05j1kc284","country_code":"CN","type":"education","lineage":["https://openalex.org/I113992204"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenyu Chen","raw_affiliation_strings":["College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistic, Hebei University of Economics and Business, Shijiazhuang 050062, China","institution_ids":["https://openalex.org/I113992204"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100457569"],"corresponding_institution_ids":["https://openalex.org/I113992204"],"apc_list":null,"apc_paid":null,"fwci":0.5237,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72293234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"2023","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":0.9997000098228455,"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":0.9997000098228455,"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":0.9988999962806702,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8025665879249573},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6470903158187866},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6021166443824768},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5018069744110107},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4436536133289337},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.416820764541626},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4161708950996399},{"id":"https://openalex.org/keywords/document-classification","display_name":"Document classification","score":0.4152825176715851},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4102647304534912},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4101288318634033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35544469952583313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32002365589141846},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23291531205177307}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8025665879249573},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6470903158187866},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6021166443824768},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5018069744110107},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4436536133289337},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.416820764541626},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4161708950996399},{"id":"https://openalex.org/C2780479914","wikidata":"https://www.wikidata.org/wiki/Q302088","display_name":"Document classification","level":2,"score":0.4152825176715851},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4102647304534912},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4101288318634033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35544469952583313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32002365589141846},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23291531205177307},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/2023/3668960","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/3668960","pdf_url":"https://downloads.hindawi.com/journals/que/2023/3668960.pdf","source":{"id":"https://openalex.org/S4210208943","display_name":"Quantum Engineering","issn_l":"2577-0470","issn":["2577-0470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/2023/3668960","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2023/3668960","pdf_url":"https://downloads.hindawi.com/journals/que/2023/3668960.pdf","source":{"id":"https://openalex.org/S4210208943","display_name":"Quantum Engineering","issn_l":"2577-0470","issn":["2577-0470"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Quantum Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1260218976","display_name":null,"funder_award_id":"F2019207118","funder_id":"https://openalex.org/F4320321949","funder_display_name":"Department of Education of Hebei Province"},{"id":"https://openalex.org/G1415323266","display_name":null,"funder_award_id":"ZD2021319","funder_id":"https://openalex.org/F4320321949","funder_display_name":"Department of Education of Hebei Province"},{"id":"https://openalex.org/G1493191333","display_name":null,"funder_award_id":"2020YB13","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G1635629036","display_name":null,"funder_award_id":"2019PY01","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G2618904580","display_name":null,"funder_award_id":"ZD2021319","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4144641312","display_name":null,"funder_award_id":"2020YB13","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4932886836","display_name":null,"funder_award_id":"ZD2021043","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G4955365749","display_name":null,"funder_award_id":"ZD2021319","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G573575561","display_name":null,"funder_award_id":"2020YB13","funder_id":"https://openalex.org/F4320321949","funder_display_name":"Department of Education of Hebei Province"},{"id":"https://openalex.org/G5853455668","display_name":null,"funder_award_id":"ZD2021043","funder_id":"https://openalex.org/F4320321949","funder_display_name":"Department of Education of Hebei Province"},{"id":"https://openalex.org/G6574742372","display_name":null,"funder_award_id":"F2019207118","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"},{"id":"https://openalex.org/G6637032183","display_name":null,"funder_award_id":"F2019207118","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G7742907658","display_name":null,"funder_award_id":"2019PY01","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8145570168","display_name":null,"funder_award_id":"2019PY01","funder_id":"https://openalex.org/F4320321949","funder_display_name":"Department of Education of Hebei Province"},{"id":"https://openalex.org/G8472927074","display_name":null,"funder_award_id":"ZD2021043","funder_id":"https://openalex.org/F4320324851","funder_display_name":"Hebei University"}],"funders":[{"id":"https://openalex.org/F4320321949","display_name":"Department of Education of Hebei Province","ror":"https://ror.org/01jkyjd96"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324851","display_name":"Hebei University","ror":"https://ror.org/01p884a79"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388625401.pdf"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W637153065","https://openalex.org/W1485981043","https://openalex.org/W1593045043","https://openalex.org/W1662382123","https://openalex.org/W1690106030","https://openalex.org/W1810943226","https://openalex.org/W1832693441","https://openalex.org/W2046216022","https://openalex.org/W2104246439","https://openalex.org/W2122369144","https://openalex.org/W2136922672","https://openalex.org/W2159637323","https://openalex.org/W2216973458","https://openalex.org/W2250966211","https://openalex.org/W2407776548","https://openalex.org/W2468907370","https://openalex.org/W2519887557","https://openalex.org/W2622365670","https://openalex.org/W2896337548","https://openalex.org/W2896457183","https://openalex.org/W2901063819","https://openalex.org/W2922162322","https://openalex.org/W2942148945","https://openalex.org/W2945785363","https://openalex.org/W2947870164","https://openalex.org/W2950813464","https://openalex.org/W2962946486","https://openalex.org/W2963083845","https://openalex.org/W2963173151","https://openalex.org/W2963355447","https://openalex.org/W2963626623","https://openalex.org/W2964015378","https://openalex.org/W2964321699","https://openalex.org/W2965373594","https://openalex.org/W2966892770","https://openalex.org/W2969515962","https://openalex.org/W2970454332","https://openalex.org/W2970597249","https://openalex.org/W2975059944","https://openalex.org/W2995435108","https://openalex.org/W2995923603","https://openalex.org/W2996035354","https://openalex.org/W2996428491","https://openalex.org/W3011411500","https://openalex.org/W3015298864","https://openalex.org/W3034457371","https://openalex.org/W3044187822","https://openalex.org/W3160195908","https://openalex.org/W4205184193","https://openalex.org/W4221117831","https://openalex.org/W4287824654","https://openalex.org/W4303183545","https://openalex.org/W6719819555","https://openalex.org/W6729269041","https://openalex.org/W6754884518"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2032548952"],"abstract_inverted_index":{"Very":[0],"recently,":[1],"the":[2,28,32,60,75,81,84,105],"BERT":[3,62],"graph":[4,63,94],"convolutional":[5,64],"network":[6,65],"(BertGCN)":[7],"model":[8,133],"has":[9],"attracted":[10],"much":[11],"attention":[12],"from":[13,120],"researchers":[14],"due":[15],"to":[16,30],"its":[17],"good":[18],"text":[19,56],"classification":[20,69,139],"performance.":[21],"However,":[22],"just":[23],"using":[24,97],"original":[25],"documents":[26,82,103],"in":[27,83],"corpus":[29],"construct":[31,111],"topology":[33],"of":[34,55,100,102,123],"graphs":[35,118],"for":[36,67,104],"GCN-based":[37],"models":[38],"may":[39],"lose":[40],"some":[41],"effective":[42],"information.":[43],"In":[44,74],"this":[45],"paper,":[46],"we":[47,78,110],"focus":[48],"on":[49,71,88,115,137],"sentiment":[50,68,138],"classification,":[51,57],"an":[52],"important":[53],"branch":[54],"and":[58],"propose":[59],"multistream":[61],"(MS-BertGCN)":[66,113],"based":[70,87,114],"cross-document":[72],"learning.":[73],"proposed":[76],"method,":[77],"first":[79],"combine":[80],"training":[85],"set":[86],"within-class":[89],"similarity.":[90],"Then,":[91],"each":[92],"heterogeneous":[93,117],"is":[95],"constructed":[96,119],"a":[98],"group":[99],"combinations":[101],"single-stream":[106],"BertGCN":[107],"model.":[108],"Finally,":[109],"multistream-BertGCN":[112],"multiple":[116],"different":[121],"groups":[122],"combined":[124],"documents.":[125],"The":[126],"experimental":[127],"results":[128],"show":[129],"that":[130],"our":[131],"MS-BertGCN":[132],"outperforms":[134],"state-of-the-art":[135],"methods":[136],"tasks.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-01-21T23:30:37.877113","created_date":"2025-10-10T00:00:00"}
