{"id":"https://openalex.org/W7135224912","doi":"https://doi.org/10.48550/arxiv.2603.11254","title":"Artificial Intelligence for Sentiment Analysis of Persian Poetry","display_name":"Artificial Intelligence for Sentiment Analysis of Persian Poetry","publication_year":2026,"publication_date":"2026-03-11","ids":{"openalex":"https://openalex.org/W7135224912","doi":"https://doi.org/10.48550/arxiv.2603.11254"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.11254","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11254","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.11254","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128944434","display_name":"Arash Zargar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zargar, Arash","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128949970","display_name":"Abolfazl Moshiri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moshiri, Abolfazl","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128944380","display_name":"Mitra Shafaei","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shafaei, Mitra","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128940299","display_name":"Shabnam Rahimi-Golkhandan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahimi-Golkhandan, Shabnam","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032676415","display_name":"MOHAMAD TAVAKOLI-TARGHI","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tavakoli-Targhi, Mohamad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5034208717","display_name":"Farzad Khalvati","orcid":"https://orcid.org/0000-0001-5616-8660"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khalvati, Farzad","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.5074999928474426,"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":0.5074999928474426,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.08760000020265579,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.04740000143647194,"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/persian","display_name":"Persian","score":0.8346999883651733},{"id":"https://openalex.org/keywords/poetry","display_name":"Poetry","score":0.7071999907493591},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6481999754905701},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.586899995803833},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5045999884605408},{"id":"https://openalex.org/keywords/stylistics","display_name":"Stylistics","score":0.38420000672340393},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.36010000109672546},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.35409998893737793}],"concepts":[{"id":"https://openalex.org/C2776527531","wikidata":"https://www.wikidata.org/wiki/Q9168","display_name":"Persian","level":2,"score":0.8346999883651733},{"id":"https://openalex.org/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.7071999907493591},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6481999754905701},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.586899995803833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5774000287055969},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5680000185966492},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5641000270843506},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5045999884605408},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.5038999915122986},{"id":"https://openalex.org/C32062796","wikidata":"https://www.wikidata.org/wiki/Q28856","display_name":"Stylistics","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.36010000109672546},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.35409998893737793},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3237999975681305},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.3100999891757965},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2833000123500824},{"id":"https://openalex.org/C2777946921","wikidata":"https://www.wikidata.org/wiki/Q7449044","display_name":"Semantic analysis (machine learning)","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2574999928474426},{"id":"https://openalex.org/C186720457","wikidata":"https://www.wikidata.org/wiki/Q7087","display_name":"Consciousness","level":2,"score":0.25380000472068787},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.11254","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11254","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.11254","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.11254","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.86601722240448,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"of":[2,12,20,67,83,91,99,130,136,158,173],"the":[3,10,36,43,65,89,92,100,108,134,156,206],"Artificial":[4],"Intelligence":[5],"(AI)":[6],"have":[7],"led":[8],"to":[9,63,87,150,168],"development":[11],"large":[13],"language":[14,28,61,94,122],"models":[15,29,62,95],"(LLMs)":[16],"that":[17,120,141,182],"are":[18,177,196],"capable":[19],"understanding,":[21],"analysing,":[22],"and":[23,38,55,77,103,111,199],"creating":[24],"textual":[25],"data.":[26],"These":[27,175],"open":[30],"a":[31,170],"significant":[32,178],"opportunity":[33],"in":[34,96,116,128,142,165,188,205],"analyzing":[35],"literature":[37],"more":[39],"specifically":[40],"poetry.":[41,132],"In":[42],"present":[44],"work,":[45],"we":[46],"employ":[47],"multiple":[48],"Bidirectional":[49],"encoder":[50],"representations":[51],"from":[52],"transformers":[53],"(BERT)":[54],"Generative":[56],"Pre-trained":[57],"Transformer":[58],"(GPT)":[59],"based":[60],"analyze":[64],"works":[66],"two":[68],"prominent":[69],"Persian":[70,101,131],"poets:":[71],"Jalal":[72],"al-Din":[73],"Muhammad":[74],"Rumi":[75],"(Rumi)":[76],"Parvin":[78,151],"E'tesami.":[79],"The":[80],"main":[81],"objective":[82],"this":[84,117],"research":[85],"is":[86],"investigate":[88],"capability":[90],"modern":[93],"grasping":[97],"complexities":[98],"poetry":[102],"explore":[104],"potential":[105,203],"correlations":[106],"between":[107],"poems'":[109],"sentiment":[110,138],"their":[112],"meters.":[113],"Our":[114],"findings":[115,176],"study":[118],"indicates":[119],"GPT4o":[121],"model":[123],"can":[124,184],"reliably":[125],"be":[126,185],"used":[127],"analysis":[129,139],"Furthermore,":[133,154],"results":[135],"our":[137],"revealed":[140],"general,":[143],"Rumi's":[144,162],"poems":[145,163],"express":[146,169],"happier":[147],"sentiments":[148],"compared":[149],"E'tesami's":[152],"poems.":[153],"comparing":[155],"utilization":[157],"poetic":[159],"meters":[160,167],"highlighted":[161],"superiority":[164],"using":[166],"wider":[171],"variety":[172],"sentiments.":[174],"as":[179],"they":[180],"confirm":[181],"LLMs":[183],"effectively":[186],"applied":[187],"conducting":[189],"computer-based":[190],"semantic":[191],"studies,":[192],"where":[193],"human":[194],"interpretations":[195],"not":[197],"required,":[198],"thereby":[200],"significantly":[201],"reducing":[202],"biases":[204],"analysis.":[207]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-14T00:00:00"}