{"id":"https://openalex.org/W4378976955","doi":"https://doi.org/10.1109/icai58407.2023.10136675","title":"Poet Attribution of Urdu Ghazals using Deep Learning","display_name":"Poet Attribution of Urdu Ghazals using Deep Learning","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4378976955","doi":"https://doi.org/10.1109/icai58407.2023.10136675"},"language":"en","primary_location":{"id":"doi:10.1109/icai58407.2023.10136675","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icai58407.2023.10136675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007764347","display_name":"Iqra Siddiqui","orcid":"https://orcid.org/0000-0002-2508-0436"},"institutions":[{"id":"https://openalex.org/I4210133438","display_name":"Habib University","ror":"https://ror.org/030p2g996","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210133438"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Iqra Siddiqui","raw_affiliation_strings":["Habib University,Computer Science,Karachi,Pakistan","Computer Science, Habib University, Karachi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Habib University,Computer Science,Karachi,Pakistan","institution_ids":["https://openalex.org/I4210133438"]},{"raw_affiliation_string":"Computer Science, Habib University, Karachi, Pakistan","institution_ids":["https://openalex.org/I4210133438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037801980","display_name":"Fizza Rubab","orcid":"https://orcid.org/0009-0001-6979-7746"},"institutions":[{"id":"https://openalex.org/I4210133438","display_name":"Habib University","ror":"https://ror.org/030p2g996","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210133438"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Fizza Rubab","raw_affiliation_strings":["Habib University,Computer Science,Karachi,Pakistan","Computer Science, Habib University, Karachi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Habib University,Computer Science,Karachi,Pakistan","institution_ids":["https://openalex.org/I4210133438"]},{"raw_affiliation_string":"Computer Science, Habib University, Karachi, Pakistan","institution_ids":["https://openalex.org/I4210133438"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104207724","display_name":"Haania Siddiqui","orcid":null},"institutions":[{"id":"https://openalex.org/I4210133438","display_name":"Habib University","ror":"https://ror.org/030p2g996","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210133438"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Haania Siddiqui","raw_affiliation_strings":["Habib University,Computer Science,Karachi,Pakistan","Computer Science, Habib University, Karachi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Habib University,Computer Science,Karachi,Pakistan","institution_ids":["https://openalex.org/I4210133438"]},{"raw_affiliation_string":"Computer Science, Habib University, Karachi, Pakistan","institution_ids":["https://openalex.org/I4210133438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103276270","display_name":"Abdul Samad","orcid":"https://orcid.org/0009-0009-5166-6412"},"institutions":[{"id":"https://openalex.org/I4210133438","display_name":"Habib University","ror":"https://ror.org/030p2g996","country_code":"PK","type":"education","lineage":["https://openalex.org/I4210133438"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Abdul Samad","raw_affiliation_strings":["Habib University,Computer Science,Karachi,Pakistan","Computer Science, Habib University, Karachi, Pakistan"],"affiliations":[{"raw_affiliation_string":"Habib University,Computer Science,Karachi,Pakistan","institution_ids":["https://openalex.org/I4210133438"]},{"raw_affiliation_string":"Computer Science, Habib University, Karachi, Pakistan","institution_ids":["https://openalex.org/I4210133438"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007764347"],"corresponding_institution_ids":["https://openalex.org/I4210133438"],"apc_list":null,"apc_paid":null,"fwci":0.6974,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74920854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9954000115394592,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9954000115394592,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9420999884605408,"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":0.9275000095367432,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7252833843231201},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.685361385345459},{"id":"https://openalex.org/keywords/poetry","display_name":"Poetry","score":0.6698241233825684},{"id":"https://openalex.org/keywords/urdu","display_name":"Urdu","score":0.6201227903366089},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6065995097160339},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.542905867099762},{"id":"https://openalex.org/keywords/authorship-attribution","display_name":"Authorship attribution","score":0.47227203845977783},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4592002332210541},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4375540614128113},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.4188436269760132},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38834095001220703},{"id":"https://openalex.org/keywords/literature","display_name":"Literature","score":0.22822755575180054},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.18325665593147278},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10483530163764954},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07144731283187866}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7252833843231201},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685361385345459},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.6698241233825684},{"id":"https://openalex.org/C2777350258","wikidata":"https://www.wikidata.org/wiki/Q1617","display_name":"Urdu","level":2,"score":0.6201227903366089},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6065995097160339},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.542905867099762},{"id":"https://openalex.org/C3020202489","wikidata":"https://www.wikidata.org/wiki/Q2032038","display_name":"Authorship attribution","level":2,"score":0.47227203845977783},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4592002332210541},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4375540614128113},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.4188436269760132},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38834095001220703},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.22822755575180054},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.18325665593147278},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10483530163764954},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07144731283187866},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icai58407.2023.10136675","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icai58407.2023.10136675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 3rd International Conference on Artificial Intelligence (ICAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2622831156","https://openalex.org/W2721356266","https://openalex.org/W2903016493","https://openalex.org/W2909752766","https://openalex.org/W3001148314","https://openalex.org/W3200672715","https://openalex.org/W3207676813","https://openalex.org/W4200054345","https://openalex.org/W4206229144","https://openalex.org/W4243903555","https://openalex.org/W4289642454","https://openalex.org/W4312338779"],"related_works":["https://openalex.org/W1588484110","https://openalex.org/W1566901819","https://openalex.org/W2118717649","https://openalex.org/W604003083","https://openalex.org/W597280011","https://openalex.org/W4310798948","https://openalex.org/W642060233","https://openalex.org/W2413243053","https://openalex.org/W410723623","https://openalex.org/W2015341305"],"abstract_inverted_index":{"Poet":[0],"attribution":[1,60,211],"focuses":[2],"on":[3,112],"determining":[4],"ownership":[5],"of":[6,9,26,30,32,48,67,83,91,103,118,139,167,183,199,238,250],"a":[7,33,46,55,101,113,193,244],"piece":[8],"poetry":[10,31,201],"by":[11],"insights":[12],"obtained":[13],"from":[14],"analyzing":[15],"his":[16],"existing":[17],"poetry.":[18],"Its":[19],"significance":[20],"is":[21,75,205],"immense":[22],"including":[23,174],"in":[24,61,163,186,212,233],"detection":[25],"plagiarism":[27],"and":[28,50,69,80,99,108,129,158,176,218,228,247],"characterization":[29,82,249],"poet.":[34,93],"Urdu,":[35],"Pakistan's":[36],"lingua":[37],"franca":[38],"with":[39,141,160],"the":[40,65,87,164,197,206,235],"richest":[41],"poetic":[42],"tradition,":[43],"has":[44],"been":[45],"subject":[47],"misinformation":[49],"misattribution.":[51],"This":[52,190],"paper":[53],"presents":[54],"novel":[56],"approach":[57,223],"to":[58,76,132,144,196,208,226,243],"poet":[59,210],"Urdu":[62,213,239],"Ghazals":[63,214],"through":[64],"application":[66],"machine":[68,104],"deep":[70,106,151,216],"learning":[71,152,217],"models.":[72,220],"Our":[73,221],"aim":[74],"establish":[77],"an":[78,137,180],"accurate":[79,248],"comprehensive":[81,246],"ghazals":[84],"that":[85],"captures":[86],"unique":[88],"writing":[89,236],"style":[90,237],"each":[92,230],"To":[94],"achieve":[95,145],"this,":[96],"we":[97,149],"trained":[98],"tested":[100],"range":[102],"learning,":[105,107],"transformer-based":[109,172,219],"classification":[110],"models":[111,153],"dataset":[114],"containing":[115],"17,609":[116],"couplets":[117],"15":[119,188],"notable":[120],"ghazal":[121],"poets.":[122,189],"We":[123,169],"used":[124,171],"classifiers":[125],"such":[126,154],"as":[127,155,203],"SVM":[128],"logistic":[130],"regression":[131],"obtain":[133],"preliminary":[134],"results,":[135,148],"achieving":[136],"accuracy":[138,166,182],"64%":[140],"SVM.":[142],"However,":[143],"even":[146],"better":[147],"employed":[150],"MLP,":[156],"CNNs,":[157],"GRUs,":[159],"LSTMs":[161],"resulting":[162],"highest":[165],"59.96%.":[168],"then":[170],"models,":[173],"roBERTa":[175],"BERT,":[177],"which":[178],"achieved":[179],"outstanding":[181],"approximately":[184],"80%":[185],"classifying":[187],"work":[191],"represents":[192],"significant":[194],"contribution":[195],"field":[198],"computational":[200],"analysis,":[202],"it":[204],"first":[207],"explore":[209],"using":[215],"analytical":[222],"enables":[224],"us":[225],"examine":[227],"analyze":[229],"model's":[231],"capabilities":[232],"capturing":[234],"Ghazal":[240],"poets,":[241],"leading":[242],"more":[245],"these":[251],"works.":[252]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}
