{"id":"https://openalex.org/W4390611570","doi":"https://doi.org/10.3389/frai.2023.1104064","title":"Sentiment interpretability analysis on Chinese texts employing multi-task and knowledge base","display_name":"Sentiment interpretability analysis on Chinese texts employing multi-task and knowledge base","publication_year":2024,"publication_date":"2024-01-05","ids":{"openalex":"https://openalex.org/W4390611570","doi":"https://doi.org/10.3389/frai.2023.1104064","pmid":"https://pubmed.ncbi.nlm.nih.gov/38249791"},"language":"en","primary_location":{"id":"doi:10.3389/frai.2023.1104064","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1104064","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1104064/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1104064/pdf?isPublishedV2=False","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022746706","display_name":"Xinyue Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyue Quan","raw_affiliation_strings":["Beijing Institute of Technology, Beijijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijijng, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642395","display_name":"Xiang Xie","orcid":"https://orcid.org/0000-0002-5135-0110"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiang Xie","raw_affiliation_strings":["Beijing Institute of Technology, Beijijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijijng, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Beijing Institute of Technology, Beijijng, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijijng, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100642395"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2125,"currency":"USD","value_usd":2125},"apc_paid":{"value":2125,"currency":"USD","value_usd":2125},"fwci":0.7182,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73498306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"6","issue":null,"first_page":"1104064","last_page":"1104064"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9973000288009644,"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"}},{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9954000115394592,"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/interpretability","display_name":"Interpretability","score":0.9918235540390015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7831317186355591},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7433549165725708},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203332781791687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5895465016365051},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5661724209785461},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5554903149604797},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.5248168706893921},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.4886949360370636},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47513583302497864},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.4426654577255249}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9918235540390015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7831317186355591},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7433549165725708},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203332781791687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5895465016365051},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5661724209785461},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5554903149604797},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.5248168706893921},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.4886949360370636},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47513583302497864},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.4426654577255249},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3389/frai.2023.1104064","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1104064","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1104064/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},{"id":"pmid:38249791","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38249791","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":"Frontiers in artificial intelligence","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10797098","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10797098","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10797098/pdf/frai-06-1104064.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"Front Artif Intell","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:dd169ddef43b4ef19ce3dcb7d8af74cb","is_oa":true,"landing_page_url":"https://doaj.org/article/dd169ddef43b4ef19ce3dcb7d8af74cb","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Artificial Intelligence, Vol 6 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/frai.2023.1104064","is_oa":true,"landing_page_url":"https://doi.org/10.3389/frai.2023.1104064","pdf_url":"https://www.frontiersin.org/articles/10.3389/frai.2023.1104064/pdf?isPublishedV2=False","source":{"id":"https://openalex.org/S4210197006","display_name":"Frontiers in Artificial Intelligence","issn_l":"2624-8212","issn":["2624-8212"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G6471985988","display_name":"\u57fa\u4e8e\u5f20\u91cf\u6df1\u5ea6\u5b66\u4e60\u548c\u6ce8\u610f\u529b\u673a\u5236\u7684\u65e0\u53c2\u8003\u58f0\u97f3\u8d28\u91cf\u8bc4\u4ef7\u65b9\u6cd5\u7814\u7a76","funder_award_id":"62071039","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390611570.pdf"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1849277567","https://openalex.org/W2110485445","https://openalex.org/W2282821441","https://openalex.org/W2779594574","https://openalex.org/W2890991187","https://openalex.org/W2949541494","https://openalex.org/W2963382180","https://openalex.org/W2996061341","https://openalex.org/W3003618396","https://openalex.org/W3105484484","https://openalex.org/W3134983687","https://openalex.org/W3153427360","https://openalex.org/W3186253370","https://openalex.org/W4365799947"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2943982549","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W4297660007","https://openalex.org/W2346578521","https://openalex.org/W2910028250","https://openalex.org/W4241566321","https://openalex.org/W3101055019","https://openalex.org/W3094353829"],"abstract_inverted_index":{"With":[0],"the":[1,8,54,76,103,128,146,176,186],"rapid":[2],"development":[3],"of":[4,33,57,102,130,148,178,188],"deep":[5,19],"learning":[6,20],"techniques,":[7],"applications":[9],"have":[10],"become":[11],"increasingly":[12],"widespread":[13],"in":[14,41,134,156],"various":[15],"domains.":[16,44],"However,":[17],"traditional":[18],"methods":[21],"are":[22],"often":[23],"referred":[24],"to":[25,84,113],"as":[26],"\"black":[27],"box\"":[28],"models":[29,180],"with":[30],"low":[31],"interpretability":[32,55,142,177],"their":[34,39],"results,":[35],"posing":[36],"challenges":[37],"for":[38,53,174],"application":[40],"certain":[42],"critical":[43],"In":[45],"this":[46],"study,":[47],"we":[48,74,107,121],"propose":[49],"a":[50,98,140,153,171],"comprehensive":[51,100],"method":[52,62],"analysis":[56,68,184],"sentiment":[58,79,124,141,179],"models.":[59],"The":[60],"proposed":[61],"encompasses":[63],"two":[64],"main":[65],"aspects:":[66],"attention-based":[67,183],"and":[69,81,96,163,185],"external":[70,110,189],"knowledge":[71,111],"integration.":[72],"First,":[73],"train":[75],"model":[77],"within":[78],"classification":[80],"generation":[82],"tasks":[83],"capture":[85],"attention":[86],"scores":[87],"from":[88],"multiple":[89],"perspectives.":[90],"This":[91],"multi-angle":[92],"approach":[93,169],"reduces":[94],"bias":[95],"provides":[97],"more":[99],"understanding":[101],"underlying":[104],"sentiment.":[105],"Second,":[106],"incorporate":[108],"an":[109],"base":[112],"improve":[114],"evidence":[115,125,132],"extraction.":[116],"By":[117],"leveraging":[118],"character":[119],"scores,":[120],"retrieve":[122],"complete":[123],"phrases,":[126],"addressing":[127],"challenge":[129],"incomplete":[131],"extraction":[133],"Chinese":[135],"texts.":[136],"Experimental":[137],"results":[138],"on":[139],"evaluation":[143],"dataset":[144],"demonstrate":[145],"effectiveness":[147],"our":[149,168],"method.":[150],"We":[151],"observe":[152],"notable":[154],"increase":[155],"accuracy":[157],"by":[158,161,165,181],"1.3%,":[159],"Macro-F1":[160],"13%,":[162],"MAP":[164],"23%.":[166],"Overall,":[167],"offers":[170],"robust":[172],"solution":[173],"enhancing":[175],"combining":[182],"integration":[187],"knowledge.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
