{"id":"https://openalex.org/W7224891576","doi":"https://doi.org/10.1109/ubmk71847.2026.11745206","title":"Sentiment Analysis for Uzbek Language Using Pre-trained Multilingual Models","display_name":"Sentiment Analysis for Uzbek Language Using Pre-trained Multilingual Models","publication_year":2026,"publication_date":"2026-09-01","ids":{"openalex":"https://openalex.org/W7224891576","doi":"https://doi.org/10.1109/ubmk71847.2026.11745206"},"language":"en","primary_location":{"id":"doi:10.1109/ubmk71847.2026.11745206","doi":"https://doi.org/10.1109/ubmk71847.2026.11745206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ubmk71847.2026.11745206","pdf_url":null,"source":{"id":"https://openalex.org/S4306498178","display_name":"International Conference on Computer Science and Engineering (UBMK)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Computer Science and Engineering (UBMK)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1109/ubmk71847.2026.11745206","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160172736","display_name":"Dilnoza Boltayeva","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405257638","display_name":"Asia International University","ror":"https://ror.org/05gb5xf93","country_code":"UZ","type":"education","lineage":["https://openalex.org/I4405257638"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Dilnoza Boltayeva","raw_affiliation_strings":["Asia International University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Asia International University","institution_ids":["https://openalex.org/I4405257638"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5133575817","display_name":"Gulnoza Salimova","orcid":"https://orcid.org/0009-0008-3773-0898","observed_orcids":["https://orcid.org/0009-0008-3773-0898"]},"institutions":[{"id":"https://openalex.org/I4210098011","display_name":"Bukhara State Medical Institute named after Abu Ali ibn Sino","ror":"https://ror.org/00swkht58","country_code":"UZ","type":"healthcare","lineage":["https://openalex.org/I4210098011"]}],"countries":["UZ"],"is_corresponding":false,"raw_author_name":"Gulnoza Salimova","raw_affiliation_strings":["Spirituality, and Enlightenment Bukhara State Medical Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Spirituality, and Enlightenment Bukhara State Medical Institute","institution_ids":["https://openalex.org/I4210098011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1105","last_page":"1110"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.0,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.0,"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/uzbek-language","display_name":"Uzbek language","score":0.8960000276565552},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"sentiment analysis","score":0.9950000047683716},{"id":"https://openalex.org/keywords/aspect-based-sentiment-analysis","display_name":"aspect-based sentiment analysis","score":0.8090000152587891},{"id":"https://openalex.org/keywords/multilingual-transformers","display_name":"multilingual transformer models","score":0.753000020980835},{"id":"https://openalex.org/keywords/xlm-r","display_name":"XLM-R","score":0.8169999718666077},{"id":"https://openalex.org/keywords/multilingual-bert","display_name":"multilingual BERT","score":0.9169999957084656},{"id":"https://openalex.org/keywords/mt5","display_name":"mT5","score":0.8700000047683716},{"id":"https://openalex.org/keywords/low-resource-languages","display_name":"low-resource languages","score":0.8130000233650208},{"id":"https://openalex.org/keywords/back-translation","display_name":"back-translation","score":0.953000009059906},{"id":"https://openalex.org/keywords/lexical-substitution","display_name":"lexical substitution","score":0.9240000247955322},{"id":"https://openalex.org/keywords/data-augmentation","display_name":"data augmentation","score":0.902999997138977},{"id":"https://openalex.org/keywords/code-switching","display_name":"code-switching","score":0.6349999904632568},{"id":"https://openalex.org/keywords/negation","display_name":"negation","score":0.8659999966621399},{"id":"https://openalex.org/keywords/sarcasm","display_name":"sarcasm","score":0.9800000190734863},{"id":"https://openalex.org/keywords/annotated-corpora","display_name":"annotated corpus","score":0.5659999847412109},{"id":"https://openalex.org/keywords/twitter","display_name":"Twitter","score":0.41100001335144043},{"id":"https://openalex.org/keywords/telegrams","display_name":"telegrams","score":0.6909999847412109},{"id":"https://openalex.org/keywords/news-comment-sections","display_name":"news comment sections","score":0.824999988079071}],"concepts":[{"id":"https://openalex.org/C2778718127","wikidata":"https://www.wikidata.org/wiki/Q9264","display_name":"Uzbek","level":2,"score":0.7075999975204468},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.6193000078201294},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5511999726295471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5475999712944031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5087000131607056},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.3481000065803528},{"id":"https://openalex.org/C2776092919","wikidata":"https://www.wikidata.org/wiki/Q9072","display_name":"Estonian","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C532629269","wikidata":"https://www.wikidata.org/wiki/Q865083","display_name":"Corpus linguistics","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.25589999556541443},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ubmk71847.2026.11745206","doi":"https://doi.org/10.1109/ubmk71847.2026.11745206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ubmk71847.2026.11745206","pdf_url":null,"source":{"id":"https://openalex.org/S4306498178","display_name":"International Conference on Computer Science and Engineering (UBMK)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Computer Science and Engineering (UBMK)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1109/ubmk71847.2026.11745206","doi":"https://doi.org/10.1109/ubmk71847.2026.11745206","is_oa":true,"landing_page_url":"https://doi.org/10.1109/ubmk71847.2026.11745206","pdf_url":null,"source":{"id":"https://openalex.org/S4306498178","display_name":"International Conference on Computer Science and Engineering (UBMK)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 11th International Conference on Computer Science and Engineering (UBMK)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1982439145","https://openalex.org/W2004316800","https://openalex.org/W2019759670","https://openalex.org/W2053154970","https://openalex.org/W2084413241","https://openalex.org/W2284660317","https://openalex.org/W2417999172","https://openalex.org/W2465099471","https://openalex.org/W2952638691","https://openalex.org/W2963341956","https://openalex.org/W2971296908","https://openalex.org/W2973730088","https://openalex.org/W2983040767","https://openalex.org/W3017311573","https://openalex.org/W3169483174"],"related_works":["https://openalex.org/W7215056670","https://openalex.org/W7224898234","https://openalex.org/W7131794395","https://openalex.org/W6885012558","https://openalex.org/W7123290275","https://openalex.org/W7167277779","https://openalex.org/W7224818014","https://openalex.org/W6922477429","https://openalex.org/W2965098067","https://openalex.org/W4285523670"],"abstract_inverted_index":{"Uzbek":[0,59],"sentiment":[1],"analysis":[2],"has":[3],"been":[4],"held":[5],"back":[6],"for":[7,24,43,49,70,143],"years,":[8],"mostly":[9],"because":[10],"there":[11],"were":[12],"no":[13,16,20],"public":[14],"datasets,":[15],"shared":[17],"benchmarks,":[18],"and":[19,34,58,89,97,112,125,195],"tools":[21],"built":[22],"specifically":[23],"the":[25,65,71,93,119,129,152,166],"language.":[26,72],"We":[27,32],"wanted":[28],"to":[29,135,169,223],"fix":[30],"that.":[31],"collected":[33],"annotated":[35],"a":[36,46,179,187,206],"multi-domain":[37],"corpus":[38],"of":[39,75],"10,000":[40],"sentences":[41],"labeled":[42],"polarity,":[44],"plus":[45],"3,000-sentence":[47],"subset":[48],"aspect-based":[50],"sentiment,":[51],"drawing":[52],"on":[53,128],"posts":[54],"from":[55,150],"Twitter/X,":[56],"Telegram,":[57],"news":[60],"comment":[61],"sections.":[62],"This":[63],"is":[64,133,200,213,220],"first":[66],"fully":[67],"reproducible":[68],"benchmark":[69],"On":[73],"top":[74],"this":[76],"data,":[77],"we":[78,98,174],"fine-tuned":[79],"four":[80],"multilingual":[81],"transformer":[82],"models":[83],"(mBERT,":[84],"XLM-R":[85,87,115],"base,":[86],"large,":[88],"mT5":[90],"base)":[91],"under":[92],"same":[94],"training":[95],"conditions,":[96],"carefully":[99],"measured":[100],"how":[101],"much":[102],"each":[103],"preprocessing":[104,212],"step":[105],"helps:":[106],"script":[107],"normalization,":[108],"morphological":[109],"pre-segmentation,":[110],"back-translation,":[111],"lexical":[113],"substitution.":[114],"large":[116],"gave":[117],"us":[118],"best":[120],"numbers,":[121],"reaching":[122],"84.7%":[123],"accuracy":[124],"82.9%":[126],"macro-F1":[127],"sentence-level":[130],"task,":[131],"which":[132,156],"up":[134],"22.7":[136],"percentage":[137,160],"points":[138],"above":[139],"anything":[140],"previously":[141],"reported":[142],"Uzbek.":[144],"The":[145,172,197],"biggest":[146],"single":[147],"gain":[148],"came":[149],"normalizing":[151],"mixed":[153],"Cyrillic-Latin":[154],"script,":[155],"alone":[157],"added":[158],"5.4":[159],"points.":[161,171],"Combining":[162],"augmentation":[163],"techniques":[164],"pushed":[165],"total":[167],"improvement":[168],"5.8":[170],"errors":[173],"still":[175],"see":[176],"cluster":[177],"around":[178],"few":[180],"stubborn":[181],"problems:":[182],"neutral-positive":[183],"confusion,":[184],"code-switching":[185],"inside":[186],"sentence,":[188],"negation":[189],"that":[190],"stretches":[191],"across":[192],"many":[193],"words,":[194],"sarcasm.":[196],"practical":[198],"message":[199],"straightforward:":[201],"when":[202],"you're":[203],"working":[204],"with":[205],"low-resource":[207],"language":[208],"like":[209],"Uzbek,":[210],"language-aware":[211],"not":[214],"something":[215],"you":[216],"can":[217],"skip;":[218],"it":[219],"absolutely":[221],"central":[222],"getting":[224],"decent":[225],"results.":[226]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2026-10-31T00:00:00"}
