{"id":"https://openalex.org/W4308414048","doi":"https://doi.org/10.3390/s22218450","title":"Synergy Masks of Domain Attribute Model DaBERT: Emotional Tracking on Time-Varying Virtual Space Communication","display_name":"Synergy Masks of Domain Attribute Model DaBERT: Emotional Tracking on Time-Varying Virtual Space Communication","publication_year":2022,"publication_date":"2022-11-03","ids":{"openalex":"https://openalex.org/W4308414048","doi":"https://doi.org/10.3390/s22218450","pmid":"https://pubmed.ncbi.nlm.nih.gov/36366148"},"language":"en","primary_location":{"id":"doi:10.3390/s22218450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218450","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8450/pdf?version=1667463293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","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/1424-8220/22/21/8450/pdf?version=1667463293","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100423424","display_name":"Ye Wang","orcid":"https://orcid.org/0000-0001-7992-3892"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Wang","raw_affiliation_strings":["College of Computer, National University of Defense Technology, Changsha 410073, China"],"affiliations":[{"raw_affiliation_string":"College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023122827","display_name":"Zhenghan Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghan Chen","raw_affiliation_strings":["School of Software & Microelectronics, Peking University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Software & Microelectronics, Peking University, Beijing 100191, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085633547","display_name":"Changzeng Fu","orcid":"https://orcid.org/0000-0003-1083-9486"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["CN","JP"],"is_corresponding":true,"raw_author_name":"Changzeng Fu","raw_affiliation_strings":["Graduate School of Engineering Science, Osaka University, Toyonaka 560-0043, Osaka, Japan","SSTC, Northeastern University, Qinhuangdao 066004, China"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering Science, Osaka University, Toyonaka 560-0043, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]},{"raw_affiliation_string":"SSTC, Northeastern University, Qinhuangdao 066004, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023122827","https://openalex.org/A5085633547"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I9224756","https://openalex.org/I98285908"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.8736,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.73079911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"22","issue":"21","first_page":"8450","last_page":"8450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9746999740600586,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.777532696723938},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.7581807971000671},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5991569757461548},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5710271596908569},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5306918621063232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4913710653781891},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.45646679401397705},{"id":"https://openalex.org/keywords/duration","display_name":"Duration (music)","score":0.45255956053733826},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4488254189491272},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.44551610946655273},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4378829002380371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4145817160606384},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.41066882014274597},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32814037799835205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.777532696723938},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.7581807971000671},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5991569757461548},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5710271596908569},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5306918621063232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4913710653781891},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.45646679401397705},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.45255956053733826},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4488254189491272},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.44551610946655273},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4378829002380371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4145817160606384},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.41066882014274597},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32814037799835205},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"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":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003142","descriptor_name":"Communication","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004644","descriptor_name":"Emotions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060756","descriptor_name":"Social Networking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s22218450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218450","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8450/pdf?version=1667463293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:36366148","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36366148","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:bf507749180d454a9f9f68ee32cc6053","is_oa":true,"landing_page_url":"https://doaj.org/article/bf507749180d454a9f9f68ee32cc6053","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":"Sensors, Vol 22, Iss 21, p 8450 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/22/21/8450/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s22218450","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":"Sensors; Volume 22; Issue 21; Pages: 8450","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:9658096","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9658096","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s22218450","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s22218450","pdf_url":"https://www.mdpi.com/1424-8220/22/21/8450/pdf?version=1667463293","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4300000071525574,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308414048.pdf","grobid_xml":"https://content.openalex.org/works/W4308414048.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1512596747","https://openalex.org/W1947985544","https://openalex.org/W2087743880","https://openalex.org/W2102150019","https://openalex.org/W2117014758","https://openalex.org/W2122369144","https://openalex.org/W2251939518","https://openalex.org/W2397682354","https://openalex.org/W2464880736","https://openalex.org/W2517540742","https://openalex.org/W2554987092","https://openalex.org/W2604847698","https://openalex.org/W2613328025","https://openalex.org/W2740711318","https://openalex.org/W2746802549","https://openalex.org/W2750287419","https://openalex.org/W2758226690","https://openalex.org/W2768008502","https://openalex.org/W2788967885","https://openalex.org/W2790309729","https://openalex.org/W2832139998","https://openalex.org/W2896457183","https://openalex.org/W2920777619","https://openalex.org/W2944772978","https://openalex.org/W2946709941","https://openalex.org/W2951278869","https://openalex.org/W2963311488","https://openalex.org/W2964045325","https://openalex.org/W2979513396","https://openalex.org/W6686566485","https://openalex.org/W6743491688","https://openalex.org/W6754884518","https://openalex.org/W6771219160"],"related_works":["https://openalex.org/W2348837382","https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W746329893","https://openalex.org/W4296359239","https://openalex.org/W2101155126"],"abstract_inverted_index":{"Emotional":[0],"tracking":[1],"on":[2,26,50,134],"time-varying":[3],"virtual":[4],"space":[5],"communication":[6],"aims":[7],"to":[8,56,97],"identify":[9],"sentiments":[10],"and":[11,58,115,140],"opinions":[12],"expressed":[13],"in":[14,54,85,123],"a":[15,45,74],"piece":[16],"of":[17,63,67,73,110,119,137],"user-generated":[18],"content.":[19],"However,":[20],"the":[21,27,32,60,64,71,78,86,108,111,117,130,143],"existing":[22],"research":[23],"mainly":[24],"focuses":[25],"user's":[28,65,112,120],"single":[29],"post,":[30],"despite":[31],"fact":[33],"that":[34,129],"social":[35,124],"network":[36],"data":[37],"are":[38],"sequential.":[39],"In":[40],"this":[41],"article,":[42],"we":[43],"propose":[44,91],"sentiment":[46,121,138],"analysis":[47,118],"model":[48,79,96,132],"based":[49],"time":[51],"series":[52],"prediction":[53,95,109],"order":[55],"understand":[57],"master":[59],"chronological":[61],"evolution":[62],"point":[66],"view.":[68],"Specifically,":[69],"with":[70],"help":[72],"domain-knowledge-enhanced":[75],"pre-trained":[76],"encoder,":[77],"embeds":[80],"tokens":[81],"for":[82],"each":[83],"moment":[84],"text":[87],"sequence.":[88],"We":[89],"then":[90],"an":[92],"attention-based":[93],"temporal":[94],"extract":[98],"rich":[99],"timing":[100],"information":[101],"from":[102],"historical":[103],"posting":[104],"records,":[105],"which":[106],"improves":[107,133],"current":[113],"state":[114],"personalizes":[116],"changes":[122],"networks.":[125],"The":[126],"experiments":[127],"show":[128],"proposed":[131],"four":[135],"kinds":[136],"tasks":[139],"significantly":[141],"outperforms":[142],"strong":[144],"baseline.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}