{"id":"https://openalex.org/W4410583305","doi":"https://doi.org/10.1109/access.2025.3572077","title":"An Adaptive Methodology for Constructing Domain-Specific Sentiment Lexicons Based on Chinese Social Media Data","display_name":"An Adaptive Methodology for Constructing Domain-Specific Sentiment Lexicons Based on Chinese Social Media Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410583305","doi":"https://doi.org/10.1109/access.2025.3572077"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3572077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3572077","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2025.3572077","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112212211","display_name":"Xue Xu","orcid":"https://orcid.org/0000-0002-3421-1565"},"institutions":[{"id":"https://openalex.org/I110109458","display_name":"Tianjin University of Commerce","ror":"https://ror.org/02b6amy98","country_code":"CN","type":"education","lineage":["https://openalex.org/I110109458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue Xu","raw_affiliation_strings":["College of Science, Tianjin University of Commerce, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Tianjin University of Commerce, Tianjin, China","institution_ids":["https://openalex.org/I110109458"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648193","display_name":"Haidong Liu","orcid":"https://orcid.org/0000-0003-2814-5888"},"institutions":[{"id":"https://openalex.org/I110109458","display_name":"Tianjin University of Commerce","ror":"https://ror.org/02b6amy98","country_code":"CN","type":"education","lineage":["https://openalex.org/I110109458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Liu","raw_affiliation_strings":["College of Science, Tianjin University of Commerce, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Tianjin University of Commerce, Tianjin, China","institution_ids":["https://openalex.org/I110109458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106484166","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0003-2702-0258"},"institutions":[{"id":"https://openalex.org/I110109458","display_name":"Tianjin University of Commerce","ror":"https://ror.org/02b6amy98","country_code":"CN","type":"education","lineage":["https://openalex.org/I110109458"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["College of Science, Tianjin University of Commerce, Tianjin, China"],"affiliations":[{"raw_affiliation_string":"College of Science, Tianjin University of Commerce, Tianjin, China","institution_ids":["https://openalex.org/I110109458"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5112212211"],"corresponding_institution_ids":["https://openalex.org/I110109458"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0568279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"90558","last_page":"90571"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9369000196456909,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9369000196456909,"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":0.8164637088775635},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7339344620704651},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5825072526931763},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.558026909828186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5502512454986572},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5185925960540771},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.4979064464569092},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40329509973526},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21087214350700378},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08160078525543213}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8164637088775635},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7339344620704651},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5825072526931763},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.558026909828186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5502512454986572},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5185925960540771},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.4979064464569092},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40329509973526},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21087214350700378},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08160078525543213},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3572077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3572077","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:35e23be368444d2daeccea3c5acc6945","is_oa":true,"landing_page_url":"https://doaj.org/article/35e23be368444d2daeccea3c5acc6945","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":"IEEE Access, Vol 13, Pp 90558-90571 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3572077","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3572077","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1501856433","https://openalex.org/W1991873845","https://openalex.org/W2102381086","https://openalex.org/W2116341502","https://openalex.org/W2168625136","https://openalex.org/W2170505850","https://openalex.org/W2295598076","https://openalex.org/W2546935677","https://openalex.org/W2907492528","https://openalex.org/W2964015378","https://openalex.org/W2997013919","https://openalex.org/W3027466640","https://openalex.org/W3102184674","https://openalex.org/W3120434113","https://openalex.org/W3173753074","https://openalex.org/W4285727302","https://openalex.org/W4294170691","https://openalex.org/W4296440242","https://openalex.org/W4309306658","https://openalex.org/W4312552362","https://openalex.org/W4391344488","https://openalex.org/W4400980063","https://openalex.org/W4405809083","https://openalex.org/W6675747103","https://openalex.org/W6679436768","https://openalex.org/W6691590749","https://openalex.org/W6755207826","https://openalex.org/W6769627184"],"related_works":["https://openalex.org/W2728430307","https://openalex.org/W2107786128","https://openalex.org/W2053241453","https://openalex.org/W2153980712","https://openalex.org/W2537388533","https://openalex.org/W2036556872","https://openalex.org/W2017590198","https://openalex.org/W2978974359","https://openalex.org/W2021183651","https://openalex.org/W2353191283"],"abstract_inverted_index":{"Currently,":[0],"many":[1],"methods":[2,18,214],"for":[3,81,99,173,187],"automatically":[4],"constructing":[5,68,82,174],"domain-specific":[6,14,33,69,83,121,168,176],"sentiment":[7,34,60,70,84,97,129,169,188,217,233],"lexicons":[8,85],"rely":[9],"on":[10,120],"knowledge":[11],"repositories":[12],"and":[13,27,58,91,123,139,172,198,225],"corpora.":[15],"However,":[16],"these":[17,74],"often":[19],"face":[20],"accuracy":[21,224],"challenges":[22],"due":[23],"to":[24,94,134,154,231],"data":[25,90],"sparsity,":[26],"inferring":[28],"the":[29,65,132,156,175,204],"polarity":[30,190],"of":[31,40,55,67,127],"new":[32],"words":[35,43],"from":[36,113],"a":[37,52,96,117,124,185],"limited":[38],"set":[39],"labeled":[41],"seed":[42,162],"lacks":[44],"precision.":[45],"Chinese":[46,87],"social":[47,88],"media":[48,89],"texts":[49],"typically":[50],"exhibit":[51],"high":[53],"degree":[54],"randomness,":[56],"noise,":[57],"informal":[59],"words,":[61],"which":[62],"further":[63],"increases":[64],"difficulty":[66],"lexicons.":[71,234],"To":[72],"address":[73],"challenges,":[75],"we":[76,182],"propose":[77,183],"an":[78],"adaptive":[79],"framework":[80,119],"using":[86],"apply":[92],"it":[93],"develop":[95],"lexicon":[98],"public":[100,103],"opinion":[101],"during":[102,161,167],"health":[104],"emergencies":[105],"(PHEPO-SentiLex).":[106],"We":[107],"first":[108],"fine-tune":[109],"Bidirectional":[110],"Encoder":[111],"Representations":[112],"Transformers":[114],"(BERT)":[115],"via":[116],"multi-task":[118],"corpus":[122],"small":[125],"number":[126],"Weibo-annotated":[128],"datasets,":[130],"enabling":[131],"model":[133],"encode":[135],"both":[136],"domain":[137],"semantics":[138],"sentiment-related":[140],"contextual":[141],"patterns":[142],"into":[143],"word":[144,163,170,178,189,218],"embeddings":[145,150],"through":[146],"gradient":[147],"sharing.":[148],"The":[149],"are":[151],"subsequently":[152],"used":[153],"calculate":[155],"Sentiment":[157],"Attraction":[158],"Degree":[159],"(SAD)":[160],"filtering,":[164],"cosine":[165],"similarity":[166],"selection,":[171],"corpus-sentiment":[177],"graph":[179],"(SentiGraph).":[180],"Next,":[181],"SentiGraph-GCN,":[184],"method":[186],"determination":[191],"that":[192,209],"integrates":[193],"semantic,":[194],"sentiment,":[195],"co-occurrence":[196],"frequency,":[197],"global":[199],"structural":[200],"information":[201],"embedded":[202],"in":[203,215,227],"corpus.":[205],"Experimental":[206],"results":[207],"demonstrate":[208],"SentiGraph-GCN":[210],"significantly":[211],"outperforms":[212],"existing":[213],"determining":[216],"polarity.":[219],"Furthermore,":[220],"PHEPO-SentiLex":[221],"exhibits":[222],"superior":[223],"stability":[226],"relevant":[228],"scenarios":[229],"compared":[230],"general-purpose":[232]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
