{"id":"https://openalex.org/W3130285335","doi":"https://doi.org/10.1109/csicc52343.2021.9420605","title":"Sentiment Analysis of Persian-English Code-mixed Texts","display_name":"Sentiment Analysis of Persian-English Code-mixed Texts","publication_year":2021,"publication_date":"2021-03-03","ids":{"openalex":"https://openalex.org/W3130285335","doi":"https://doi.org/10.1109/csicc52343.2021.9420605","mag":"3130285335"},"language":"en","primary_location":{"id":"doi:10.1109/csicc52343.2021.9420605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc52343.2021.9420605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2102.12700","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028728844","display_name":"Nazanin Sabri","orcid":"https://orcid.org/0000-0002-0861-9444"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Nazanin Sabri","raw_affiliation_strings":["electrical and computer engineering, University of Tehran, Tehran, Iran","University of TEHRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"electrical and computer engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"University of TEHRAN","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103161385","display_name":"Ali Edalat","orcid":"https://orcid.org/0009-0004-6748-8095"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Edalat","raw_affiliation_strings":["electrical and computer engineering, University of Tehran, Tehran, Iran","University of TEHRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"electrical and computer engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"University of TEHRAN","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018813049","display_name":"Behnam Bahrak","orcid":"https://orcid.org/0000-0003-4429-2511"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Behnam Bahrak","raw_affiliation_strings":["electrical and computer engineering, University of Tehran, Tehran, Iran","University of TEHRAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"electrical and computer engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]},{"raw_affiliation_string":"University of TEHRAN","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.4095,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.66323601,"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":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9993000030517578,"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":0.9965999722480774,"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/computer-science","display_name":"Computer science","score":0.798710286617279},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7342360019683838},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6055238842964172},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5821860432624817},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5781283974647522},{"id":"https://openalex.org/keywords/persian","display_name":"Persian","score":0.554229199886322},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5208054780960083},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5000584125518799},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4923468828201294},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3395407795906067},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.337182879447937},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2847263216972351},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14757642149925232},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09096279740333557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.798710286617279},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7342360019683838},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6055238842964172},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5821860432624817},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5781283974647522},{"id":"https://openalex.org/C2776527531","wikidata":"https://www.wikidata.org/wiki/Q9168","display_name":"Persian","level":2,"score":0.554229199886322},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5208054780960083},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5000584125518799},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4923468828201294},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3395407795906067},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.337182879447937},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2847263216972351},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14757642149925232},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09096279740333557},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/csicc52343.2021.9420605","is_oa":false,"landing_page_url":"https://doi.org/10.1109/csicc52343.2021.9420605","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 26th International Computer Conference, Computer Society of Iran (CSICC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2102.12700","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.12700","pdf_url":"https://arxiv.org/pdf/2102.12700","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:3130285335","is_oa":true,"landing_page_url":"http://arxiv.org/pdf/2102.12700.pdf","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2102.12700","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.12700","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2102.12700","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.12700","pdf_url":"https://arxiv.org/pdf/2102.12700","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3130285335.pdf","grobid_xml":"https://content.openalex.org/works/W3130285335.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W2134684245","https://openalex.org/W2185006153","https://openalex.org/W2251149908","https://openalex.org/W2560970694","https://openalex.org/W2731450672","https://openalex.org/W2756627997","https://openalex.org/W2790142169","https://openalex.org/W2793276877","https://openalex.org/W2795670164","https://openalex.org/W2803373752","https://openalex.org/W2808204637","https://openalex.org/W2921602445","https://openalex.org/W2937269099","https://openalex.org/W2962920413","https://openalex.org/W2963341956","https://openalex.org/W2983418531","https://openalex.org/W3003257820","https://openalex.org/W3025310691","https://openalex.org/W3030198970","https://openalex.org/W3032020872","https://openalex.org/W3032739230","https://openalex.org/W3081896459","https://openalex.org/W3115081393","https://openalex.org/W3117802993","https://openalex.org/W4237155282","https://openalex.org/W6729835714","https://openalex.org/W6740714078","https://openalex.org/W6749302851","https://openalex.org/W6749503049","https://openalex.org/W6749886391","https://openalex.org/W6752214919","https://openalex.org/W6755207826","https://openalex.org/W6765643788","https://openalex.org/W6777122113","https://openalex.org/W6777418201","https://openalex.org/W6777795097","https://openalex.org/W6778474419","https://openalex.org/W6781317926"],"related_works":["https://openalex.org/W3160009589","https://openalex.org/W2772253004","https://openalex.org/W2902155814","https://openalex.org/W3127524027","https://openalex.org/W3147970038","https://openalex.org/W3143059108","https://openalex.org/W3113206711","https://openalex.org/W2256681566","https://openalex.org/W3157837610","https://openalex.org/W2154343189","https://openalex.org/W3163282782","https://openalex.org/W3030198970","https://openalex.org/W3162629839","https://openalex.org/W2771687349","https://openalex.org/W2017489100","https://openalex.org/W2808423603","https://openalex.org/W1992892670","https://openalex.org/W2741843760","https://openalex.org/W3006402542","https://openalex.org/W3136782479"],"abstract_inverted_index":{"The":[0],"rapid":[1],"production":[2],"of":[3,27,42,52,83,110],"data":[4,43],"on":[5,44],"the":[6,9,25,39,107,116],"internet":[7],"and":[8,20,54,78,123],"need":[10],"to":[11,38,90,104],"understand":[12],"how":[13],"users":[14],"are":[15,48],"feeling":[16],"from":[17],"a":[18,64,81,92],"business":[19],"research":[21],"perspective":[22],"has":[23,62],"prompted":[24],"creation":[26],"numerous":[28],"automatic":[29],"monolingual":[30],"sentiment":[31,69],"detection":[32],"systems.":[33,71],"More":[34],"recently":[35],"however,":[36],"due":[37],"unstructured":[40],"nature":[41],"social":[45],"media,":[46],"we":[47,75],"observing":[49],"more":[50],"instances":[51],"multilingual":[53],"code-mixed":[55,68,85],"texts.":[56],"This":[57],"development":[58],"in":[59],"content":[60],"type":[61],"created":[63],"new":[65],"demand":[66],"for":[67],"analysis":[70],"In":[72],"this":[73],"study":[74],"collect,":[76],"label":[77],"thus":[79],"create":[80],"dataset":[82],"Persian-English":[84],"tweets.":[86],"We":[87],"then":[88],"proceed":[89],"introduce":[91],"model":[93,114],"which":[94],"uses":[95],"BERT":[96],"pretrained":[97],"embeddings":[98],"as":[99,101],"well":[100],"translation":[102],"models":[103,118],"automatically":[105],"learn":[106],"polarity":[108],"scores":[109],"these":[111],"Tweets.":[112],"Our":[113],"outperforms":[115],"baseline":[117],"that":[119],"use":[120],"Na\u00efve":[121],"Bayes":[122],"Random":[124],"Forest":[125],"methods.":[126]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
