{"id":"https://openalex.org/W7130316693","doi":"https://doi.org/10.1007/s00521-025-11805-2","title":"Meta-learning ensemble for emotion detection in conversational text","display_name":"Meta-learning ensemble for emotion detection in conversational text","publication_year":2026,"publication_date":"2026-02-01","ids":{"openalex":"https://openalex.org/W7130316693","doi":"https://doi.org/10.1007/s00521-025-11805-2"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-025-11805-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11805-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11805-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/s00521-025-11805-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015878046","display_name":"Sheetal Kusal","orcid":null},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheetal Kusal","raw_affiliation_strings":["Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126298133","display_name":"Shruti Patil","orcid":null},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shruti Patil","raw_affiliation_strings":["Symbiosis Artificial Intelligence Institute, Symbiosis International (Deemed University), Pune,  Maharashtra,  412115, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Artificial Intelligence Institute, Symbiosis International (Deemed University), Pune,  Maharashtra,  412115, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126322718","display_name":"Aasheer Peerbhai","orcid":null},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aasheer Peerbhai","raw_affiliation_strings":["Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077770842","display_name":"Ketan Kotecha","orcid":"https://orcid.org/0000-0003-2653-3780"},"institutions":[{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ketan Kotecha","raw_affiliation_strings":["Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Symbiosis Centre for Applied Artificial Intelligence, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070517330","display_name":"Ganeshsree Selvachandran","orcid":"https://orcid.org/0000-0001-7161-2109"},"institutions":[{"id":"https://openalex.org/I11662577","display_name":"Monash University Malaysia","ror":"https://ror.org/00yncr324","country_code":"MY","type":"education","lineage":["https://openalex.org/I11662577"]},{"id":"https://openalex.org/I244572783","display_name":"Symbiosis International University","ror":"https://ror.org/005r2ww51","country_code":"IN","type":"education","lineage":["https://openalex.org/I244572783"]}],"countries":["IN","MY"],"is_corresponding":true,"raw_author_name":"Ganeshsree Selvachandran","raw_affiliation_strings":["School of Business, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia","Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India"],"raw_orcid":"https://orcid.org/0000-0001-7161-2109","affiliations":[{"raw_affiliation_string":"School of Business, Monash University Malaysia, Jalan Lagoon Selatan, 47500, Bandar Sunway, Selangor, Malaysia","institution_ids":["https://openalex.org/I11662577"]},{"raw_affiliation_string":"Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, Maharashtra, 412115, India","institution_ids":["https://openalex.org/I244572783"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087542455","display_name":"Ajith Abraham","orcid":"https://orcid.org/0000-0002-0169-6738"},"institutions":[{"id":"https://openalex.org/I4210164862","display_name":"Artificial Intelligence in Medicine (Canada)","ror":"https://ror.org/05p590m36","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210164862"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ajith Abraham","raw_affiliation_strings":["School of Artificial Intelligence, Sai University, Paiyanur, Chennai, Tamil Nadu, 603104, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Sai University, Paiyanur, Chennai, Tamil Nadu, 603104, India","institution_ids":["https://openalex.org/I4210164862"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070517330"],"corresponding_institution_ids":["https://openalex.org/I11662577","https://openalex.org/I244572783"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15780158,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"38","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.28139999508857727,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.28139999508857727,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.20909999310970306,"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/T12488","display_name":"Mental Health via Writing","score":0.07800000160932541,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5587999820709229},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5060999989509583},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5001999735832214},{"id":"https://openalex.org/keywords/emotion-detection","display_name":"Emotion detection","score":0.49959999322891235},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48730000853538513},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.46389999985694885},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.4262999892234802},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.41609999537467957}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8428000211715698},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682699978351593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5651999711990356},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5587999820709229},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C2988148770","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion detection","level":3,"score":0.49959999322891235},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48730000853538513},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.4262999892234802},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.3179999887943268},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C2984334869","wikidata":"https://www.wikidata.org/wiki/Q1060653","display_name":"Customer service","level":3,"score":0.29649999737739563},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28360000252723694},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.271699994802475},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.2623000144958496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-025-11805-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11805-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11805-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-025-11805-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-025-11805-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-025-11805-2.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5306527614593506,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320971","display_name":"Monash University","ror":"https://ror.org/02bfwt286"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130316693.pdf","grobid_xml":"https://content.openalex.org/works/W7130316693.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W17944974","https://openalex.org/W1496253462","https://openalex.org/W1977137834","https://openalex.org/W2003653478","https://openalex.org/W2056695536","https://openalex.org/W2066064791","https://openalex.org/W2070808135","https://openalex.org/W2266225906","https://openalex.org/W2401379394","https://openalex.org/W2538827509","https://openalex.org/W2553303224","https://openalex.org/W2565640548","https://openalex.org/W2611049140","https://openalex.org/W2740258984","https://openalex.org/W2741321799","https://openalex.org/W2751124354","https://openalex.org/W2766505384","https://openalex.org/W2887832821","https://openalex.org/W2914188784","https://openalex.org/W2946870453","https://openalex.org/W2951583236","https://openalex.org/W2953739332","https://openalex.org/W2955429306","https://openalex.org/W2963270767","https://openalex.org/W3034942609","https://openalex.org/W3037008567","https://openalex.org/W3174868646","https://openalex.org/W3175450530","https://openalex.org/W3211971560","https://openalex.org/W4251591997","https://openalex.org/W4281619578","https://openalex.org/W4287854777","https://openalex.org/W4312375544","https://openalex.org/W4313443948","https://openalex.org/W4321510583","https://openalex.org/W4322721962","https://openalex.org/W4323313559","https://openalex.org/W4380887019","https://openalex.org/W4400232720"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Advances":[1],"in":[2,59,66,76,141,159,162,240],"Artificial":[3],"Intelligence":[4],"(AI),":[5],"Machine":[6],"Learning":[7,11],"(ML),":[8],"and":[9,34,39,69,122],"Deep":[10],"(DL)":[12],"are":[13,28,48,63],"enabling":[14],"machines":[15],"to":[16,57,83,108,156],"emulate":[17],"human-like":[18],"behaviors.":[19],"In":[20],"the":[21,73,127,148,175,195,201,229],"context":[22],"of":[23,45,150,231],"social":[24],"computing,":[25],"lifelike":[26],"characters":[27],"crucial":[29],"as":[30],"they":[31],"facilitate":[32],"natural":[33],"intuitive":[35],"interactions":[36],"between":[37],"humans":[38],"computers.":[40],"Chatbots,":[41],"a":[42,133,222],"key":[43],"application":[44],"such":[46],"technologies,":[47],"computer":[49],"programs":[50],"that":[51,79,90,174,220],"use":[52],"Natural":[53],"Language":[54],"Processing":[55],"(NLP)":[56],"engage":[58],"text-based":[60,138],"conversations.":[61],"They":[62],"widely":[64],"used":[65],"customer":[67],"service":[68],"other":[70],"domains,":[71],"but":[72],"challenge":[74],"lies":[75],"designing":[77],"chatbots":[78,94],"feel":[80],"more":[81],"human":[82],"enhance":[84],"user":[85],"engagement.":[86],"Research":[87],"has":[88],"shown":[89],"incorporating":[91],"emotions":[92,161],"into":[93],"is":[95],"critical":[96],"for":[97,137,224],"achieving":[98],"this":[99],"goal.":[100],"Effective":[101],"emotion":[102,139],"recognition":[103],"systems":[104],"must":[105],"be":[106],"able":[107],"process":[109],"real-time":[110],"text":[111],"interactions,":[112],"understand":[113],"users\u2019":[114],"sentiments":[115],"on":[116,126,169,184,194,200],"various":[117],"topics,":[118],"address":[119],"their":[120,236],"concerns,":[121],"respond":[123],"appropriately":[124],"based":[125],"detected":[128],"emotions.":[129],"This":[130],"paper":[131],"proposes":[132],"meta-learning":[134,176],"ensemble":[135,177],"approach":[136,189],"detection":[140],"conversational":[142,171],"data.":[143],"The":[144,187,217],"proposed":[145,188],"method":[146,178],"combines":[147],"outputs":[149],"multiple":[151],"well-established":[152],"machine":[153,181,214],"learning":[154,182,215],"algorithms":[155,183,233],"improve":[157],"accuracy":[158,193],"recognizing":[160],"text.":[163],"A":[164],"comparative":[165],"analysis":[166],"was":[167],"conducted":[168],"two":[170],"datasets,":[172],"demonstrating":[173],"outperforms":[179],"individual":[180,213],"both":[185],"datasets.":[186],"achieved":[190,205],"73%":[191],"classification":[192,207],"Empathetic":[196],"Dialogues":[197],"dataset,":[198,203],"while":[199,234],"EmoContext":[202],"it":[204],"95.1%":[206],"accuracy,":[208],"significantly":[209],"outperforming":[210],"results":[211],"over":[212],"algorithms.":[216],"conclusions":[218],"demonstrate":[219],"utilizing":[221],"meta-learner":[223],"model":[225],"fusion":[226],"successfully":[227],"leverages":[228],"advantages":[230],"separate":[232],"alleviating":[235],"intrinsic":[237],"shortcomings,":[238],"resulting":[239],"enhanced":[241],"overall":[242],"performance.":[243]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-02-19T00:00:00"}