{"id":"https://openalex.org/W4402648511","doi":"https://doi.org/10.1007/978-3-031-70242-6_22","title":"PashtoEmo: Enhancing Text-Based Emotion Analysis in\u00a0the\u00a0Pashto Language Through Dataset Creation","display_name":"PashtoEmo: Enhancing Text-Based Emotion Analysis in\u00a0the\u00a0Pashto Language Through Dataset Creation","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402648511","doi":"https://doi.org/10.1007/978-3-031-70242-6_22"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-70242-6_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70242-6_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-031-70242-6_22","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093108403","display_name":"Mohammad Arif Payenda","orcid":"https://orcid.org/0009-0005-5329-2152"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Mohammad Arif Payenda","raw_affiliation_strings":["University of Agder (UiA), Grimstad, Norway"],"raw_orcid":"https://orcid.org/0009-0005-5329-2152","affiliations":[{"raw_affiliation_string":"University of Agder (UiA), Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093108404","display_name":"Abdul Razaq Vahidi","orcid":"https://orcid.org/0009-0000-1456-9343"},"institutions":[{"id":"https://openalex.org/I173761726","display_name":"Karab\u00fck University","ror":"https://ror.org/04wy7gp54","country_code":"TR","type":"education","lineage":["https://openalex.org/I173761726"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Abdul Razaq Vahidi","raw_affiliation_strings":["Karab\u00fck University (KBU), Karab\u00fck, Turkey"],"raw_orcid":"https://orcid.org/0009-0000-1456-9343","affiliations":[{"raw_affiliation_string":"Karab\u00fck University (KBU), Karab\u00fck, Turkey","institution_ids":["https://openalex.org/I173761726"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092362939","display_name":"Mohammad Ali Hussiny","orcid":"https://orcid.org/0009-0007-3272-4045"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Mohammad Ali Hussiny","raw_affiliation_strings":["University of Oslo (UiO), Oslo, Norway"],"raw_orcid":"https://orcid.org/0009-0007-3272-4045","affiliations":[{"raw_affiliation_string":"University of Oslo (UiO), Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087675927","display_name":"Andreas Prinz","orcid":"https://orcid.org/0000-0002-0646-2877"},"institutions":[{"id":"https://openalex.org/I200650556","display_name":"University of Agder","ror":"https://ror.org/03x297z98","country_code":"NO","type":"education","lineage":["https://openalex.org/I200650556"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Andreas Prinz","raw_affiliation_strings":["University of Agder (UiA), Grimstad, Norway"],"raw_orcid":"https://orcid.org/0000-0002-0646-2877","affiliations":[{"raw_affiliation_string":"University of Agder (UiA), Grimstad, Norway","institution_ids":["https://openalex.org/I200650556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080614776","display_name":"Lilja \u00d8vrelid","orcid":"https://orcid.org/0000-0002-8880-8404"},"institutions":[{"id":"https://openalex.org/I184942183","display_name":"University of Oslo","ror":"https://ror.org/01xtthb56","country_code":"NO","type":"education","lineage":["https://openalex.org/I184942183"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Lilja \u00d8vrelid","raw_affiliation_strings":["University of Oslo (UiO), Oslo, Norway"],"raw_orcid":"https://orcid.org/0000-0002-8880-8404","affiliations":[{"raw_affiliation_string":"University of Oslo (UiO), Oslo, Norway","institution_ids":["https://openalex.org/I184942183"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5093108403"],"corresponding_institution_ids":["https://openalex.org/I200650556"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32930236,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"225","last_page":"236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9864000082015991,"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/T11795","display_name":"Humor Studies and Applications","score":0.9847999811172485,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8553303480148315},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6329964995384216},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4710752069950104},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32712966203689575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8553303480148315},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6329964995384216},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4710752069950104},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32712966203689575}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-70242-6_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70242-6_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-70242-6_22","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-70242-6_22","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1493620491","https://openalex.org/W1513398909","https://openalex.org/W1971222444","https://openalex.org/W2040467972","https://openalex.org/W2053154970","https://openalex.org/W2109047263","https://openalex.org/W3012385961","https://openalex.org/W3196324893","https://openalex.org/W4285242467","https://openalex.org/W4288028050","https://openalex.org/W4288055284","https://openalex.org/W4297801177","https://openalex.org/W4313326295","https://openalex.org/W4385734274","https://openalex.org/W4387741989","https://openalex.org/W4388277727"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0,81],"paper":[1],"presents":[2],"the":[3,11,67,84],"comprehensive":[4],"PashtoEmo":[5,14,53],"dataset":[6],"for":[7,54],"emotion":[8,55],"analysis":[9,56],"in":[10,93],"Pashto":[12,94],"language.":[13],"contains":[15],"8016":[16],"text":[17],"instances":[18],"from":[19],"$$\\mathbb":[20],"{X}$$":[21],"social":[22,32],"media":[23],"platform":[24],"covering":[25],"several":[26,58],"topics,":[27],"including":[28],"politics,":[29],"women\u2019s":[30],"rights,":[31],"justice,":[33],"culture,":[34],"sports,":[35],"and":[36,46,63,77],"education.":[37],"The":[38],"texts":[39],"are":[40],"annotated":[41],"with":[42,57,90],"six":[43],"emotional":[44],"categories":[45],"an":[47],"additional":[48],"\u2018Other\u2019":[49],"class.":[50],"We":[51],"tested":[52],"machine":[59],"learning,":[60,62],"deep":[61],"transformer":[64],"models.":[65],"Even":[66],"best":[68],"model,":[69],"XLM-RoBERTa-large,":[70],"achieved":[71],"only":[72],"a":[73,78],"76.85%":[74],"F1":[75],"score":[76],"78.11%":[79],"accuracy.":[80],"indicates":[82],"that":[83],"data":[85],"set":[86],"must":[87],"be":[88],"extended":[89],"adequate":[91],"resources":[92],"language":[95],"text-based":[96],"applications.":[97]},"counts_by_year":[],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}