{"id":"https://openalex.org/W4405090605","doi":"https://doi.org/10.1007/s00500-024-10357-2","title":"A comparative study of machine learning models for sentiment analysis of transboundary rivers news media articles","display_name":"A comparative study of machine learning models for sentiment analysis of transboundary rivers news media articles","publication_year":2024,"publication_date":"2024-12-01","ids":{"openalex":"https://openalex.org/W4405090605","doi":"https://doi.org/10.1007/s00500-024-10357-2"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-024-10357-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-10357-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-10357-2.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-10357-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100375426","display_name":"Jiale Wang","orcid":"https://orcid.org/0000-0001-7294-2409"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Wang","raw_affiliation_strings":["Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100659083","display_name":"Jing Wei","orcid":"https://orcid.org/0000-0001-6282-0862"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Wei","raw_affiliation_strings":["Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068525466","display_name":"Fuqiang Tian","orcid":"https://orcid.org/0000-0001-9414-7019"},"institutions":[{"id":"https://openalex.org/I4210099662","display_name":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering","ror":"https://ror.org/012wsxz85","country_code":"CN","type":"facility","lineage":["https://openalex.org/I163340411","https://openalex.org/I4210099662","https://openalex.org/I4210111986","https://openalex.org/I4210120069","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fuqiang Tian","raw_affiliation_strings":["Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China"],"raw_orcid":"https://orcid.org/0000-0001-9414-7019","affiliations":[{"raw_affiliation_string":"Department of Hydraulic Engineering, State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China","institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062145262","display_name":"Yongping Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"The University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yongping Wei","raw_affiliation_strings":["School of the Environment, The University of Queensland, St. Lucia, QLD, 4072, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of the Environment, The University of Queensland, St. Lucia, QLD, 4072, Australia","institution_ids":["https://openalex.org/I165143802"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068525466"],"corresponding_institution_ids":["https://openalex.org/I4210099662","https://openalex.org/I99065089"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":1.4581,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.84871795,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"28","issue":"23-24","first_page":"13331","last_page":"13347"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.9980000257492065,"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":0.977400004863739,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6487991213798523},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6133590936660767},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37924817204475403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33970674872398376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6487991213798523},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6133590936660767},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37924817204475403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33970674872398376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-024-10357-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-10357-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-10357-2.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00500-024-10357-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-024-10357-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-024-10357-2.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1268351978","display_name":null,"funder_award_id":"51961125204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3001388218","display_name":null,"funder_award_id":"92047301","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"},{"id":"https://openalex.org/F4320322392","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405090605.pdf"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W34584312","https://openalex.org/W1519285836","https://openalex.org/W1572786359","https://openalex.org/W1660390307","https://openalex.org/W1889043906","https://openalex.org/W1969570712","https://openalex.org/W1975750585","https://openalex.org/W2009190245","https://openalex.org/W2013931588","https://openalex.org/W2019268418","https://openalex.org/W2019759670","https://openalex.org/W2048815652","https://openalex.org/W2053219566","https://openalex.org/W2064675550","https://openalex.org/W2085842814","https://openalex.org/W2122111042","https://openalex.org/W2125549609","https://openalex.org/W2125669535","https://openalex.org/W2189265340","https://openalex.org/W2215376118","https://openalex.org/W2295598076","https://openalex.org/W2471221792","https://openalex.org/W2540642777","https://openalex.org/W2554660430","https://openalex.org/W2569056166","https://openalex.org/W2602865024","https://openalex.org/W2725799220","https://openalex.org/W2735459586","https://openalex.org/W2766671363","https://openalex.org/W2768861773","https://openalex.org/W2779594574","https://openalex.org/W2801716390","https://openalex.org/W2898339904","https://openalex.org/W2907212742","https://openalex.org/W2909182718","https://openalex.org/W2911964244","https://openalex.org/W2914537577","https://openalex.org/W2923280274","https://openalex.org/W2933352653","https://openalex.org/W2952865506","https://openalex.org/W2953332970","https://openalex.org/W2955434120","https://openalex.org/W2958856141","https://openalex.org/W2958997998","https://openalex.org/W2974335209","https://openalex.org/W2979513396","https://openalex.org/W3010364516","https://openalex.org/W3034824379","https://openalex.org/W3041708702","https://openalex.org/W3043767040","https://openalex.org/W3081616764","https://openalex.org/W3082368348","https://openalex.org/W3085251560","https://openalex.org/W3090218966","https://openalex.org/W3107923834","https://openalex.org/W3120559821","https://openalex.org/W3123343024","https://openalex.org/W3123494295","https://openalex.org/W3135440523","https://openalex.org/W3139140319","https://openalex.org/W3145073622","https://openalex.org/W3154941836","https://openalex.org/W3160464195","https://openalex.org/W3161635801","https://openalex.org/W3200987797","https://openalex.org/W3207431176","https://openalex.org/W3212425287","https://openalex.org/W4210757546","https://openalex.org/W4214617834","https://openalex.org/W4225983683","https://openalex.org/W4285240945","https://openalex.org/W4308408563","https://openalex.org/W4312302174","https://openalex.org/W4322504437","https://openalex.org/W4362606383","https://openalex.org/W4366374878","https://openalex.org/W4379012959","https://openalex.org/W4381597980","https://openalex.org/W4382794653","https://openalex.org/W4386376246","https://openalex.org/W4387340494","https://openalex.org/W6601311427","https://openalex.org/W6702248584"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1,35],"of":[2,12,33,45,55,93,111,154,180],"news":[3,95,133],"media":[4],"articles":[5,96,134],"is":[6,21],"essential":[7],"for":[8,36,89,132,186],"understanding":[9],"the":[10,31,53,117,141,150,166,174],"dynamics":[11],"conflict":[13,102,205],"and":[14,83,103,115,129,152,197,206],"cooperation":[15],"in":[16,52,109,149,165,173,189],"transboundary":[17,37,100,190],"rivers.":[18,38],"However,":[19],"it":[20],"not":[22],"known":[23],"which":[24],"machine":[25,47],"learning":[26,48],"model(s)":[27],"can":[28],"best":[29,172],"meet":[30],"requirement":[32],"sentiment":[34,57,91,143,156],"This":[39],"study":[40,182],"presents":[41],"a":[42],"comparative":[43],"examination":[44],"ten":[46],"models":[49],"commonly":[50],"used":[51],"field":[54],"text":[56],"analysis,":[58],"including":[59],"K-Nearest":[60],"Neighbors,":[61],"Naive":[62],"Bayes,":[63],"Support":[64],"Vector":[65],"Machine,":[66],"Decision":[67,73],"Tree,":[68,74],"Random":[69],"Forest,":[70],"Gradient":[71,76],"Boosting":[72],"Extreme":[75],"Boosting,":[77],"Multilayer":[78],"Perceptron,":[79],"Long":[80],"Short-Term":[81],"Memory":[82],"Bidirectional":[84,118],"Encoder":[85,119],"Representations":[86,120],"from":[87,121],"Transformers,":[88],"five-class":[90],"classification":[92],"9382":[94],"(1977\u20132022)":[97],"attending":[98],"to":[99,194,199],"water":[101,163,204,208],"cooperation.":[104,209],"By":[105,138],"evaluating":[106],"their":[107],"performance":[108,128,148],"terms":[110],"accuracy,":[112],"precision,":[113],"recall":[114],"F1-score,":[116],"Transformers":[122],"(BERT)":[123],"model":[124],"demonstrated":[125],"good":[126],"overall":[127],"prediction":[130,151],"capabilities":[131],"with":[135,140],"conflictive":[136,155],"sentiments.":[137],"comparing":[139],"AFINN":[142],"dictionary,":[144],"BERT":[145,170],"showed":[146],"superior":[147],"identification":[153],"labels.":[157],"And":[158],"by":[159],"validating":[160],"against":[161],"historical":[162],"events":[164],"three":[167],"river":[168],"basins,":[169],"performed":[171],"Indus":[175],"River":[176],"basin.":[177],"The":[178],"findings":[179],"this":[181],"hold":[183],"significant":[184],"implications":[185],"government":[187],"agencies":[188],"rivers,":[191],"allowing":[192],"them":[193],"promptly":[195],"assess":[196],"respond":[198],"public":[200],"sentiment,":[201],"thereby":[202],"preventing":[203],"promoting":[207]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}