{"id":"https://openalex.org/W4309739689","doi":"https://doi.org/10.3390/e24111691","title":"BHGAttN: A Feature-Enhanced Hierarchical Graph Attention Network for Sentiment Analysis","display_name":"BHGAttN: A Feature-Enhanced Hierarchical Graph Attention Network for Sentiment Analysis","publication_year":2022,"publication_date":"2022-11-18","ids":{"openalex":"https://openalex.org/W4309739689","doi":"https://doi.org/10.3390/e24111691","pmid":"https://pubmed.ncbi.nlm.nih.gov/36421546"},"language":"en","primary_location":{"id":"doi:10.3390/e24111691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111691","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1691/pdf?version=1668785563","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/24/11/1691/pdf?version=1668785563","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100632994","display_name":"Junjun Zhang","orcid":"https://orcid.org/0000-0001-6160-1246"},"institutions":[{"id":"https://openalex.org/I22586776","display_name":"Cheongju University","ror":"https://ror.org/02tx4na66","country_code":"KR","type":"education","lineage":["https://openalex.org/I22586776"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Junjun Zhang","raw_affiliation_strings":["Department of Computer Information Engineering, Cheongju University, Cheongju 28503, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information Engineering, Cheongju University, Cheongju 28503, Republic of Korea","institution_ids":["https://openalex.org/I22586776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085448518","display_name":"Zhengyan Cui","orcid":"https://orcid.org/0000-0002-7173-6758"},"institutions":[{"id":"https://openalex.org/I22586776","display_name":"Cheongju University","ror":"https://ror.org/02tx4na66","country_code":"KR","type":"education","lineage":["https://openalex.org/I22586776"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zhengyan Cui","raw_affiliation_strings":["Department of Computer Information Engineering, Cheongju University, Cheongju 28503, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Information Engineering, Cheongju University, Cheongju 28503, Republic of Korea","institution_ids":["https://openalex.org/I22586776"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049648357","display_name":"Hyun Jun Park","orcid":"https://orcid.org/0000-0003-1365-0232"},"institutions":[{"id":"https://openalex.org/I22586776","display_name":"Cheongju University","ror":"https://ror.org/02tx4na66","country_code":"KR","type":"education","lineage":["https://openalex.org/I22586776"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Jun Park","raw_affiliation_strings":["Division of Software Convergence, Cheongju University, Cheongju 28503, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Software Convergence, Cheongju University, Cheongju 28503, Republic of Korea","institution_ids":["https://openalex.org/I22586776"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073587128","display_name":"Giseop Noh","orcid":null},"institutions":[{"id":"https://openalex.org/I22586776","display_name":"Cheongju University","ror":"https://ror.org/02tx4na66","country_code":"KR","type":"education","lineage":["https://openalex.org/I22586776"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Giseop Noh","raw_affiliation_strings":["Division of Software Convergence, Cheongju University, Cheongju 28503, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Division of Software Convergence, Cheongju University, Cheongju 28503, Republic of Korea","institution_ids":["https://openalex.org/I22586776"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073587128"],"corresponding_institution_ids":["https://openalex.org/I22586776"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.276,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63642826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"24","issue":"11","first_page":"1691","last_page":"1691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9983000159263611,"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":0.7768063545227051},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.626828670501709},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6196466088294983},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5617614388465881},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5496552586555481},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.49400097131729126},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4807034134864807},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.4323084354400635},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4209522008895874},{"id":"https://openalex.org/keywords/hierarchical-organization","display_name":"Hierarchical organization","score":0.41667425632476807},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3636605739593506},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2610556483268738},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07584765553474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7768063545227051},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.626828670501709},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6196466088294983},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5617614388465881},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5496552586555481},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.49400097131729126},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4807034134864807},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.4323084354400635},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4209522008895874},{"id":"https://openalex.org/C2780217385","wikidata":"https://www.wikidata.org/wiki/Q2389284","display_name":"Hierarchical organization","level":2,"score":0.41667425632476807},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3636605739593506},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2610556483268738},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07584765553474426},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/e24111691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111691","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1691/pdf?version=1668785563","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},{"id":"pmid:36421546","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36421546","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:9bd4146e0bcb469988146565ce48adf9","is_oa":true,"landing_page_url":"https://doaj.org/article/9bd4146e0bcb469988146565ce48adf9","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 24, Iss 11, p 1691 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1099-4300/24/11/1691/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/e24111691","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Entropy; Volume 24; Issue 11; Pages: 1691","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9689255","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9689255","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/e24111691","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e24111691","pdf_url":"https://www.mdpi.com/1099-4300/24/11/1691/pdf?version=1668785563","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6600000262260437,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G639189648","display_name":null,"funder_award_id":"22B520040","funder_id":"https://openalex.org/F4320325625","funder_display_name":"Education Department of Henan Province"}],"funders":[{"id":"https://openalex.org/F4320325625","display_name":"Education Department of Henan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4309739689.pdf","grobid_xml":"https://content.openalex.org/works/W4309739689.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1932600547","https://openalex.org/W2149684865","https://openalex.org/W2153579005","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2407776548","https://openalex.org/W2470673105","https://openalex.org/W2743104969","https://openalex.org/W2788667846","https://openalex.org/W2947854857","https://openalex.org/W2962739339","https://openalex.org/W2962756421","https://openalex.org/W2970183009","https://openalex.org/W2991441121","https://openalex.org/W3035568641","https://openalex.org/W3173753074","https://openalex.org/W3202105401","https://openalex.org/W3215560629","https://openalex.org/W4229948749","https://openalex.org/W4288089799","https://openalex.org/W6632118081","https://openalex.org/W6739901393","https://openalex.org/W6754884518","https://openalex.org/W6763503751","https://openalex.org/W6769627184","https://openalex.org/W6778883912"],"related_works":["https://openalex.org/W2615268635","https://openalex.org/W4392094631","https://openalex.org/W2740393785","https://openalex.org/W4389995241","https://openalex.org/W2077012825","https://openalex.org/W1715259577","https://openalex.org/W2996014667","https://openalex.org/W3216128357","https://openalex.org/W4206392734","https://openalex.org/W2056757854"],"abstract_inverted_index":{"Recently,":[0],"with":[1,149],"the":[2,14,19,23,31,35,38,42,74,81,87,90,96,111,114,118,125,130,134,141,150],"rise":[3],"of":[4,77,89,93,105],"deep":[5],"learning,":[6],"text":[7,21],"classification":[8],"techniques":[9],"have":[10],"developed":[11],"rapidly.":[12],"However,":[13],"existing":[15],"work":[16],"usually":[17],"takes":[18],"entire":[20],"as":[22],"modeling":[24],"object":[25],"and":[26,44,68,95,117,129],"pays":[27,122],"less":[28],"attention":[29,58,70,123],"to":[30,72,102,124],"hierarchical":[32,56,75,98,131],"structure":[33],"within":[34,133],"text,":[36],"ignoring":[37],"internal":[39],"connection":[40],"between":[41,113],"upper":[43],"lower":[45],"sentences.":[46],"To":[47],"address":[48],"these":[49],"issues,":[50],"this":[51],"paper":[52],"proposes":[53],"a":[54,64],"Bert-based":[55],"graph":[57,69,99],"network":[59,71,100],"model":[60,67,73,121,143],"(BHGAttN)":[61],"based":[62],"on":[63],"large-scale":[65],"pretrained":[66],"relationship":[76,132],"texts.":[78],"During":[79],"modeling,":[80],"semantic":[82,127],"features":[83],"are":[84],"enhanced":[85],"by":[86,109],"output":[88],"intermediate":[91],"layer":[92,104],"BERT,":[94],"multilevel":[97],"corresponding":[101],"each":[103],"BERT":[106],"is":[107],"constructed":[108],"using":[110],"dependencies":[112],"whole":[115],"sentence":[116],"subsentence.":[119],"This":[120],"layer-by-layer":[126],"information":[128],"text.":[135],"The":[136],"experimental":[137],"results":[138],"show":[139],"that":[140],"BHGAttN":[142],"exhibits":[144],"significant":[145],"competitive":[146],"advantages":[147],"compared":[148],"current":[151],"state-of-the-art":[152],"baseline":[153],"models.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
