{"id":"https://openalex.org/W4391457482","doi":"https://doi.org/10.31577/cai_2023_5_1091","title":"Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News","display_name":"Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4391457482","doi":"https://doi.org/10.31577/cai_2023_5_1091"},"language":"en","primary_location":{"id":"doi:10.31577/cai_2023_5_1091","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_5_1091","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_5_1091/1253","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_5_1091/1253","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071802844","display_name":"Isha Gupta","orcid":null},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Isha Gupta","raw_affiliation_strings":["School of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India","institution_ids":["https://openalex.org/I55016150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032826979","display_name":"Indranath Chatterjee","orcid":"https://orcid.org/0000-0001-9242-8888"},"institutions":[{"id":"https://openalex.org/I4210104306","display_name":"Tongmyong University","ror":"https://ror.org/01asa8g02","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210104306"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Indranath Chatterjee","raw_affiliation_strings":["Department of Computer Engineering, Tongmyong University, Busan, South Korea & School of Technology, Woxsen University, Telangana, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Tongmyong University, Busan, South Korea & School of Technology, Woxsen University, Telangana, India","institution_ids":["https://openalex.org/I4210104306"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100605662","display_name":"Neha Gupta","orcid":"https://orcid.org/0000-0003-0905-5457"},"institutions":[{"id":"https://openalex.org/I55016150","display_name":"Manav Rachna International Institute of Research and Studies","ror":"https://ror.org/02kf4r633","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405253735","https://openalex.org/I55016150"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neha Gupta","raw_affiliation_strings":["School of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India"],"affiliations":[{"raw_affiliation_string":"School of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India","institution_ids":["https://openalex.org/I55016150"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5071802844"],"corresponding_institution_ids":["https://openalex.org/I55016150"],"apc_list":null,"apc_paid":null,"fwci":0.3921,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67938401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"42","issue":"5","first_page":"1091","last_page":"1113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9574000239372253,"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":0.9574000239372253,"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/sarcasm","display_name":"Sarcasm","score":0.9892981052398682},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.800267219543457},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5533435940742493},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5452696084976196},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5367518663406372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45180100202560425},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3966454565525055},{"id":"https://openalex.org/keywords/irony","display_name":"Irony","score":0.27930665016174316},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.18883851170539856},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08251368999481201}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9892981052398682},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.800267219543457},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5533435940742493},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5452696084976196},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5367518663406372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45180100202560425},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3966454565525055},{"id":"https://openalex.org/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.27930665016174316},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.18883851170539856},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08251368999481201}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31577/cai_2023_5_1091","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_5_1091","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_5_1091/1253","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31577/cai_2023_5_1091","is_oa":true,"landing_page_url":"https://doi.org/10.31577/cai_2023_5_1091","pdf_url":"https://www.cai.sk/ojs/index.php/cai/article/download/2023_5_1091/1253","source":{"id":"https://openalex.org/S4210200093","display_name":"Computing and Informatics","issn_l":"1335-9150","issn":["1335-9150","2585-8807"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing and Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8299999833106995}],"awards":[],"funders":[{"id":"https://openalex.org/F4320319154","display_name":"Tongmyong University","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4391457482.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2401379394","https://openalex.org/W2544767710","https://openalex.org/W2563351168","https://openalex.org/W2604716683","https://openalex.org/W2758985501","https://openalex.org/W2915002815","https://openalex.org/W2921199488","https://openalex.org/W2962692632","https://openalex.org/W2963608065","https://openalex.org/W2968386811","https://openalex.org/W2969513720","https://openalex.org/W2971879956","https://openalex.org/W2990662920","https://openalex.org/W2998135150","https://openalex.org/W3010507974","https://openalex.org/W3014675721","https://openalex.org/W3015642072","https://openalex.org/W3016921356","https://openalex.org/W3039503982","https://openalex.org/W3090245549","https://openalex.org/W3096786462","https://openalex.org/W3111125993","https://openalex.org/W3118913631","https://openalex.org/W3122631664","https://openalex.org/W3124465193","https://openalex.org/W3144293453","https://openalex.org/W3148700153","https://openalex.org/W3151652884","https://openalex.org/W3153540814","https://openalex.org/W3153901792","https://openalex.org/W3154295458","https://openalex.org/W3154745533","https://openalex.org/W3163856144","https://openalex.org/W3178048855","https://openalex.org/W3198995987","https://openalex.org/W4210886906","https://openalex.org/W4220922805","https://openalex.org/W4221004265","https://openalex.org/W4226053074","https://openalex.org/W4281251249","https://openalex.org/W4286685490","https://openalex.org/W4292687057","https://openalex.org/W4295864911","https://openalex.org/W4297805823","https://openalex.org/W4302433649","https://openalex.org/W4367323203","https://openalex.org/W4367858557"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"In":[0,129],"the":[1,43,47,80,181,185,190,202,239,263],"field":[2,203,264],"of":[3,38,54,79,174,192,204,218,241,265],"natural":[4],"language":[5],"processing":[6],"(NLP),":[7],"detecting":[8,30],"emotions":[9,19],"or":[10,27],"sentiments":[11],"can":[12,20,96,235,246,258],"be":[13,21,124],"a":[14,51,77,86,110,113,134,140,198,208,248],"challenging":[15],"task,":[16],"and":[17,82,115,210,238,253],"sometimes":[18],"more":[22],"complex":[23],"than":[24],"just":[25],"positive":[26,249],"negative.":[28],"However,":[29],"sarcasm":[31,45,64,99,127,155,167,214,266],"in":[32,46,60,105,126,156,165,168,262],"textual":[33],"data":[34],"adds":[35],"another":[36],"layer":[37],"complexity.":[39],"Despite":[40],"this,":[41],"identifying":[42,166],"underlying":[44],"text":[48,169],"has":[49],"become":[50],"recent":[52,222],"area":[53],"interest":[55],"among":[56],"NLP":[57,205],"researchers.":[58],"Headlines":[59],"newspapers":[61],"often":[62],"use":[63],"to":[65,76,123,143,153,183,201],"engage":[66],"readers,":[67],"but":[68],"readers":[69,234],"may":[70],"have":[71,108,121,179,247],"difficulty":[72],"recognizing":[73],"it,":[74],"leading":[75],"misinterpretation":[78],"news":[81,157],"spreading":[83,240],"misinformation.":[84,242],"As":[85],"result,":[87],"there":[88],"is":[89],"an":[90,149,171],"urgent":[91],"need":[92,111],"for":[93,112,213],"technology":[94],"that":[95,138,225,256],"automatically":[97],"identify":[98],"with":[100,170,221],"high":[101],"accuracy.":[102],"Recent":[103],"studies":[104],"this":[106,130],"domain":[107],"revealed":[109],"robust":[114],"efficient":[116],"model.":[117,194],"Deep":[118],"learning":[119],"approaches":[120],"proven":[122],"effective":[125,211],"detection.":[128,215,267],"work,":[131],"we":[132,254],"propose":[133],"novel":[135],"two-stage":[136],"model":[137,212,220],"uses":[139],"word-embedding":[141],"technique":[142],"select":[144],"relevant":[145],"features":[146],"followed":[147],"by":[148,206],"advanced":[150],"deep-learning":[151],"architecture":[152],"classify":[154],"headlines.":[158],"Our":[159,195],"proposed":[160],"method":[161],"demonstrates":[162],"promising":[163],"results":[164],"accuracy":[172],"rate":[173],"approximately":[175],"97":[176],"%.":[177],"We":[178],"fine-tuned":[180],"hyper-parameters":[182],"increase":[184],"precision":[186],"level,":[187],"which":[188],"enhances":[189],"efficacy":[191],"our":[193,219,226,232,244],"work":[196,245],"provides":[197],"significant":[199],"contribution":[200],"presenting":[207],"reliable":[209],"The":[216],"comparison":[217],"advancements":[223],"indicates":[224],"approach":[227],"outperforms":[228],"them.":[229],"By":[230],"using":[231],"model,":[233],"avoid":[236],"misinterpretations":[237],"Therefore,":[243],"impact":[250],"on":[251],"society,":[252],"believe":[255],"it":[257],"inspire":[259],"future":[260],"research":[261]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
