{"id":"https://openalex.org/W3212990991","doi":"https://doi.org/10.1109/access.2021.3128742","title":"BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits","display_name":"BERT, XLNet or RoBERTa: The Best Transfer Learning Model to Detect Clickbaits","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3212990991","doi":"https://doi.org/10.1109/access.2021.3128742","mag":"3212990991"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3128742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128742","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.2021.3128742","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030351062","display_name":"Praboda Rajapaksha","orcid":"https://orcid.org/0000-0002-6747-6367"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Praboda Rajapaksha","raw_affiliation_strings":["Institut Polytechnique de Paris, CNRS Lab UMR5157, France. (e-mail: praboda.rajapaksha@telecom-sudparis.eu)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, CNRS Lab UMR5157, France. (e-mail: praboda.rajapaksha@telecom-sudparis.eu)","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","institution_ids":["https://openalex.org/I4210145102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014176390","display_name":"Reza Farahbakhsh","orcid":"https://orcid.org/0000-0003-3219-3700"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Reza Farahbakhsh","raw_affiliation_strings":["Institut Polytechnique de Paris, CNRS Lab UMR5157, France","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, CNRS Lab UMR5157, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","institution_ids":["https://openalex.org/I4210145102"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5107205316","display_name":"No\u00ebl Crespi","orcid":"https://orcid.org/0000-0003-2962-192X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210145102","display_name":"Institut Polytechnique de Paris","ror":"https://ror.org/042tfbd02","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210145102"]},{"id":"https://openalex.org/I4387153010","display_name":"T\u00e9l\u00e9com SudParis","ror":"https://ror.org/05xvk4r52","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Noel Crespi","raw_affiliation_strings":["Institut Polytechnique de Paris, CNRS Lab UMR5157, France","IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)"],"affiliations":[{"raw_affiliation_string":"Institut Polytechnique de Paris, CNRS Lab UMR5157, France","institution_ids":["https://openalex.org/I1294671590"]},{"raw_affiliation_string":"IP Paris - Institut Polytechnique de Paris (Route de Saclay, 91120 Palaiseau Cedex, France - France)","institution_ids":["https://openalex.org/I4210145102"]},{"raw_affiliation_string":"R3S-SAMOVAR - R\u00e9seaux, Syst\u00e8mes, Services, S\u00e9curit\u00e9 (TELECOM Sudparis\r\n 9 rue Charles Fourier\r\n 91011 EVRY - France)","institution_ids":["https://openalex.org/I4387153010"]},{"raw_affiliation_string":"TSP - RS2M - D\u00e9partement R\u00e9seaux et Services Multim\u00e9dia Mobiles (T\u00e9l\u00e9com SudParis - 9 rue Charles Fourier - 91011 \u00c9vry cedex - France)","institution_ids":["https://openalex.org/I4210145102","https://openalex.org/I4387153010"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030351062"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210145102","https://openalex.org/I4387153010"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":17.843,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.99192901,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"9","issue":null,"first_page":"154704","last_page":"154716"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.989799976348877,"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":0.8310514688491821},{"id":"https://openalex.org/keywords/headline","display_name":"Headline","score":0.7602972984313965},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7513011693954468},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6989352107048035},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5976783037185669},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5742865800857544},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5493634343147278},{"id":"https://openalex.org/keywords/publication","display_name":"Publication","score":0.5377606749534607}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8310514688491821},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.7602972984313965},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7513011693954468},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6989352107048035},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5976783037185669},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742865800857544},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5493634343147278},{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.5377606749534607},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2021.3128742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128742","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:HAL:hal-03559488v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03559488","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, 2021, 9, pp.154704-154716. ⟨10.1109/ACCESS.2021.3128742⟩","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:eed1f7b9e7c04273a87b93e0bbb9c486","is_oa":true,"landing_page_url":"https://doaj.org/article/eed1f7b9e7c04273a87b93e0bbb9c486","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 154704-154716 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3128742","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3128742","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2148143831","https://openalex.org/W2157331557","https://openalex.org/W2560440203","https://openalex.org/W2601065187","https://openalex.org/W2765178803","https://openalex.org/W2765545856","https://openalex.org/W2800869061","https://openalex.org/W2809338452","https://openalex.org/W2811401084","https://openalex.org/W2890274481","https://openalex.org/W2896457183","https://openalex.org/W2911681509","https://openalex.org/W2920975620","https://openalex.org/W2932766729","https://openalex.org/W2952861497","https://openalex.org/W2962739339","https://openalex.org/W2963854351","https://openalex.org/W2965373594","https://openalex.org/W2970597249","https://openalex.org/W2972324944","https://openalex.org/W2975381464","https://openalex.org/W2977526300","https://openalex.org/W2980708516","https://openalex.org/W2983965200","https://openalex.org/W2984030454","https://openalex.org/W2999309192","https://openalex.org/W3001470870","https://openalex.org/W3004026490","https://openalex.org/W3024601799","https://openalex.org/W3038012435","https://openalex.org/W3099624838","https://openalex.org/W3111372685","https://openalex.org/W3117375803","https://openalex.org/W3203309275","https://openalex.org/W4246826033","https://openalex.org/W4299567010","https://openalex.org/W4300117366","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6739901393","https://openalex.org/W6744996769","https://openalex.org/W6745942339","https://openalex.org/W6753098388","https://openalex.org/W6753163301","https://openalex.org/W6755207826","https://openalex.org/W6758109434","https://openalex.org/W6763240421","https://openalex.org/W6763701032","https://openalex.org/W6766673545","https://openalex.org/W6767883279","https://openalex.org/W6768080748","https://openalex.org/W6802232916"],"related_works":["https://openalex.org/W4285135530","https://openalex.org/W2380567098","https://openalex.org/W2035489689","https://openalex.org/W906669285","https://openalex.org/W1553197492","https://openalex.org/W85886512","https://openalex.org/W1586468330","https://openalex.org/W1514610457","https://openalex.org/W3173716828","https://openalex.org/W2515595154"],"abstract_inverted_index":{"Clickbait":[0,142],"can":[1],"be":[2,21],"a":[3,12,15,22,25,161],"spam":[4],"or":[5,18],"an":[6,225],"advert":[7],"which":[8,29],"more":[9,245],"often":[10],"provides":[11],"link":[13],"to":[14,24,49,56,67,77,83,95,99,126,146,154,229,249,279],"commercial":[16],"website,":[17],"it":[19,151],"might":[20],"headline":[23],"news":[26,54,58],"media":[27],"website":[28],"makes":[30],"money":[31],"from":[32,234,267],"page":[33],"views":[34],"by":[35,72,121,261],"providing":[36],"eye-catchy":[37],"headlines":[38,55],"with":[39,221,271],"deceptive":[40],"news.":[41],"This":[42],"paper":[43],"focuses":[44],"on":[45,87,110,184],"the":[46,78,92,127,156,174,207,213,222,230,250,281],"latter":[47],"one":[48],"identify":[50],"clickbaits":[51],"that":[52],"use":[53,68],"publish":[57],"items":[59],"in":[60,81,104,247],"Twitter.":[61],"In":[62,210],"this":[63,90,105,169,177,240],"work,":[64],"we":[65,269],"aimed":[66],"Transfer":[69,97,203,216],"Learning":[70,98,204,217],"approaches":[71,192,205],"adding":[73,262],"various":[74],"configuration":[75,124,195,241],"changes":[76,125],"existing":[79],"models":[80,120,149,259,286],"order":[82],"detect":[84],"clickbaits.":[85],"Based":[86],"author\u2019s":[88],"knowledge,":[89],"is":[91,171,219,254],"first":[93],"attempt":[94],"adapt":[96],"classify":[100],"Clickbaits.":[101],"The":[102,164,197],"analysis":[103],"work":[106],"are":[107],"mainly":[108,182],"focused":[109,183],"three":[111],"main":[112],"models:":[113],"BERT,":[114],"XLNet":[115],"and":[116,135,150,193],"RoBERTa.We":[117],"fine-tuned":[118,285],"these":[119],"integrating":[122],"novel":[123],"default":[128],"architecture":[129],"such":[130],"as":[131,173],"model":[132,167,194,218],"expansion,":[133],"pruning":[134],"data":[136],"augmentation":[137],"strategies.":[138],"We":[139],"used":[140],"Webis":[141],"Challenge":[143],"2017":[144],"dataset":[145,275],"train":[147],"our":[148,201,211,284],"was":[152],"introduced":[153],"evaluate":[155],"level":[157],"of":[158,160,224,283],"clickbait":[159,274,277],"Twitter":[162],"post.":[163],"best":[165,214],"performed":[166,215],"at":[168],"competition":[170],"considered":[172,208],"benchmark":[175,251],"for":[176],"research.":[178],"Our":[179],"analyses":[180],"were":[181],"eight":[185],"different":[186,288],"scenarios":[187],"after":[188],"applying":[189],"several":[190],"fine-tuning":[191],"changes.":[196],"results":[198],"shown":[199],"that,":[200,268],"proposed":[202],"outperformed":[206],"benchmark.":[209],"experiments,":[212],"RoBERTa":[220],"integration":[223],"additional":[226],"non-linear":[227],"layer":[228],"output":[231],"tensors":[232],"extracted":[233],"hidden":[235],"outputs.":[236],"For":[237],"binary":[238],"classification,":[239],"has":[242],"achieved":[243],"19.12%":[244],"accuracy":[246],"compared":[248],"model.":[252],"There":[253],"no":[255],"significant":[256],"improvement":[257],"when":[258],"expanded":[260],"extra":[263],"RNN":[264],"layer(s).":[265],"Apart":[266],"experimented":[270],"another":[272],"labelled":[273],"(Kaggle":[276],"challenge)":[278],"explore":[280],"performance":[282],"under":[287],"scenarios.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":7}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}