{"id":"https://openalex.org/W4297830905","doi":"https://doi.org/10.1145/3519299","title":"Hybrid Deep Learning Model for Sarcasm Detection in Indian Indigenous Language Using Word-Emoji Embeddings","display_name":"Hybrid Deep Learning Model for Sarcasm Detection in Indian Indigenous Language Using Word-Emoji Embeddings","publication_year":2022,"publication_date":"2022-08-10","ids":{"openalex":"https://openalex.org/W4297830905","doi":"https://doi.org/10.1145/3519299"},"language":"en","primary_location":{"id":"doi:10.1145/3519299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519299","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://e-space.mmu.ac.uk/630278/1/Hybrid%20Deep%20Learning%20Model%20for%20Sarcasm%20Detection%20in%20Indian%20Indigenous%20Language%20Using%20Word-Emoji%20Embeddings%20%281%29.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5046087654","display_name":"Akshi Kumar","orcid":"https://orcid.org/0000-0003-4263-7168"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Akshi Kumar","raw_affiliation_strings":["Department of Information Technology, Netaji Subhas University of Technology, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0003-4263-7168","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Netaji Subhas University of Technology, Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091017133","display_name":"Saurabh Raj Sangwan","orcid":"https://orcid.org/0000-0002-0832-0362"},"institutions":[{"id":"https://openalex.org/I36090812","display_name":"Netaji Subhas University of Technology","ror":"https://ror.org/01fczmh85","country_code":"IN","type":"education","lineage":["https://openalex.org/I36090812"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saurabh Raj Sangwan","raw_affiliation_strings":["Department of Computer Science &amp; Engineering, Netaji Subhas University of Technology, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0002-0832-0362","affiliations":[{"raw_affiliation_string":"Department of Computer Science &amp; Engineering, Netaji Subhas University of Technology, Delhi, India","institution_ids":["https://openalex.org/I36090812"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022816097","display_name":"Adarsh Kumar Singh","orcid":"https://orcid.org/0000-0001-8892-9444"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Adarsh Kumar Singh","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-8892-9444","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016316669","display_name":"Gandharv Wadhwa","orcid":"https://orcid.org/0000-0001-6903-4194"},"institutions":[{"id":"https://openalex.org/I863896202","display_name":"Delhi Technological University","ror":"https://ror.org/01ztcvt22","country_code":"IN","type":"education","lineage":["https://openalex.org/I863896202"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gandharv Wadhwa","raw_affiliation_strings":["Department of Information Technology, Delhi Technological University, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-6903-4194","affiliations":[{"raw_affiliation_string":"Department of Information Technology, Delhi Technological University, Delhi, India","institution_ids":["https://openalex.org/I863896202"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8991,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91846306,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"1","last_page":"20"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9923999905586243,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.954800009727478,"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":0.9699435234069824},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7697321176528931},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7424782514572144},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7057089805603027},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.6067376136779785},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.6031116843223572},{"id":"https://openalex.org/keywords/emoji","display_name":"Emoji","score":0.5953714847564697},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4519408345222473},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.28036558628082275},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.15264949202537537}],"concepts":[{"id":"https://openalex.org/C2776207355","wikidata":"https://www.wikidata.org/wiki/Q191035","display_name":"Sarcasm","level":3,"score":0.9699435234069824},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7697321176528931},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7424782514572144},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7057089805603027},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.6067376136779785},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.6031116843223572},{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.5953714847564697},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4519408345222473},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.28036558628082275},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.15264949202537537},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"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/C2779975665","wikidata":"https://www.wikidata.org/wiki/Q131361","display_name":"Irony","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3519299","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3519299","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"},{"id":"pmh:oai:e-space.mmu.ac.uk:630278","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/affe1f8bfc5c38e471a809f9d1811df1.html>","pdf_url":"https://e-space.mmu.ac.uk/630278/1/Hybrid%20Deep%20Learning%20Model%20for%20Sarcasm%20Detection%20in%20Indian%20Indigenous%20Language%20Using%20Word-Emoji%20Embeddings%20%281%29.pdf","source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:e-space.mmu.ac.uk:630278","is_oa":true,"landing_page_url":"https://e-space.mmu.ac.uk/view/authors/affe1f8bfc5c38e471a809f9d1811df1.html>","pdf_url":"https://e-space.mmu.ac.uk/630278/1/Hybrid%20Deep%20Learning%20Model%20for%20Sarcasm%20Detection%20in%20Indian%20Indigenous%20Language%20Using%20Word-Emoji%20Embeddings%20%281%29.pdf","source":{"id":"https://openalex.org/S4306401617","display_name":"e-space (Manchester Metropolitan University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11983389","host_organization_name":"Manchester Metropolitan University","host_organization_lineage":["https://openalex.org/I11983389"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4297830905.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1516184288","https://openalex.org/W1607035479","https://openalex.org/W2015440905","https://openalex.org/W2064675550","https://openalex.org/W2149167588","https://openalex.org/W2232443784","https://openalex.org/W2236357521","https://openalex.org/W2250480277","https://openalex.org/W2251920663","https://openalex.org/W2252381721","https://openalex.org/W2489370933","https://openalex.org/W2510141903","https://openalex.org/W2512532697","https://openalex.org/W2529281176","https://openalex.org/W2583643061","https://openalex.org/W2740582239","https://openalex.org/W2765736925","https://openalex.org/W2811442347","https://openalex.org/W2832139998","https://openalex.org/W2895715183","https://openalex.org/W2901453474","https://openalex.org/W2915002815","https://openalex.org/W2936626781","https://openalex.org/W2948972794","https://openalex.org/W2962692632","https://openalex.org/W2962949934","https://openalex.org/W2963291843","https://openalex.org/W2963349408","https://openalex.org/W2968386811","https://openalex.org/W2970172244","https://openalex.org/W2975297849","https://openalex.org/W2982281530","https://openalex.org/W2999713678","https://openalex.org/W3000271234","https://openalex.org/W3010507974","https://openalex.org/W3035421993","https://openalex.org/W3036688785","https://openalex.org/W3042925453","https://openalex.org/W3099108204","https://openalex.org/W3102065963","https://openalex.org/W3106003309","https://openalex.org/W3176188073","https://openalex.org/W3182354233","https://openalex.org/W3188927811","https://openalex.org/W3194308000","https://openalex.org/W4243747344","https://openalex.org/W6687567705"],"related_works":["https://openalex.org/W4287854818","https://openalex.org/W3198215190","https://openalex.org/W4280624874","https://openalex.org/W3133704247","https://openalex.org/W4321354354","https://openalex.org/W2250204095","https://openalex.org/W3041964155","https://openalex.org/W4281774093","https://openalex.org/W3169305685","https://openalex.org/W4297830905"],"abstract_inverted_index":{"Automated":[0],"sarcasm":[1,53,176,206],"detection":[2,54],"is":[3,25,64,125,150],"deemed":[4],"as":[5,37,61,82],"a":[6,16,131,153],"complex":[7],"natural":[8],"language":[9,23],"processing":[10],"task":[11],"and":[12,18,34,45,72,93,142,162,200],"extending":[13],"it":[14],"to":[15,66,78,112,126,145],"morphologically-rich":[17],"free-order":[19],"dominant":[20],"indigenous":[21],"Indian":[22],"Hindi":[24,154],"another":[26],"challenge":[27],"in":[28,55,98,207],"itself.":[29],"The":[30,148,165,191],"scarcity":[31],"of":[32,52,96,101,122,130,172,184,189],"resources":[33],"tools":[35],"such":[36],"annotated":[38,159],"corpora,":[39],"lexicons,":[40],"dependency":[41],"parser,":[42],"Part-of-Speech":[43],"tagger,":[44],"benchmark":[46],"datasets":[47],"engorge":[48],"the":[49,89,99,120,128,170],"linguistic":[50],"challenges":[51],"low-resource":[56,209],"languages":[57],"like":[58],"Hindi.":[59],"Furthermore,":[60],"context":[62],"incongruity":[63],"imperative":[65],"detect":[67,146],"sarcasm,":[68],"various":[69],"linguistic,":[70],"aural":[71],"visual":[73],"cues":[74],"can":[75,105],"be":[76],"used":[77],"predict":[79],"target":[80],"utterance":[81],"sarcastic.":[83],"While":[84],"pre-trained":[85],"word":[86,102,141],"embeddings":[87,144],"capture":[88],"meanings,":[90],"semantic":[91],"relationships":[92],"different":[94],"types":[95],"contexts":[97],"form":[100],"representations,":[103],"emojis":[104,174],"also":[106],"render":[107],"useful":[108],"contextual":[109],"information,":[110],"analogous":[111],"human":[113],"facial":[114],"expressions,":[115],"for":[116,175,204],"gauging":[117],"sarcasm.":[118,147],"Thus,":[119],"goal":[121],"this":[123],"research":[124,192],"demonstrate":[127],"use":[129],"hybrid":[132],"deep":[133],"learning":[134],"model":[135,149,180,203],"trained":[136],"using":[137,173],"two":[138],"embeddings,":[139],"namely":[140],"emoji":[143],"validated":[151],"on":[152],"tweets":[155],"dataset,":[156],"Sarc-H,":[157],"manually":[158],"with":[160,178,186],"sarcastic":[161],"non-sarcastic":[163],"labels.":[164],"preliminary":[166],"results":[167],"clearly":[168],"depict":[169],"importance":[171],"detection,":[177],"our":[179],"attaining":[181],"an":[182,187],"accuracy":[183],"97.35%":[185],"F-score":[188],"0.9708.":[190],"validates":[193],"that":[194],"automated":[195],"feature":[196],"engineering":[197],"facilitates":[198],"efficient":[199],"repeatable":[201],"predictive":[202],"detecting":[205],"indigenous,":[208],"languages.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-18T07:39:51.176621","created_date":"2025-10-10T00:00:00"}
