{"id":"https://openalex.org/W4387453348","doi":"https://doi.org/10.1145/3626094","title":"How a Deep Contextualized Representation and Attention Mechanism Justifies Explainable Cross-Lingual Sentiment Analysis","display_name":"How a Deep Contextualized Representation and Attention Mechanism Justifies Explainable Cross-Lingual Sentiment Analysis","publication_year":2023,"publication_date":"2023-10-09","ids":{"openalex":"https://openalex.org/W4387453348","doi":"https://doi.org/10.1145/3626094"},"language":"en","primary_location":{"id":"doi:10.1145/3626094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626094","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-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/A5047992582","display_name":"Rouzbeh Ghasemi","orcid":"https://orcid.org/0000-0003-4477-6401"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Rouzbeh Ghasemi","raw_affiliation_strings":["Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-4477-6401","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015201403","display_name":"Saeedeh Momtazi","orcid":"https://orcid.org/0000-0002-8110-1342"},"institutions":[{"id":"https://openalex.org/I158248296","display_name":"Amirkabir University of Technology","ror":"https://ror.org/04gzbav43","country_code":"IR","type":"education","lineage":["https://openalex.org/I158248296"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Saeedeh Momtazi","raw_affiliation_strings":["Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-8110-1342","affiliations":[{"raw_affiliation_string":"Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I158248296"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158248296"],"apc_list":null,"apc_paid":null,"fwci":0.3173,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.633988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"22","issue":"11","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","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/T10028","display_name":"Topic Modeling","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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9984999895095825,"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":0.996999979019165,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8012452125549316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7859658002853394},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.573336660861969},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5638088583946228},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5331847667694092},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49976229667663574},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.4612428545951843},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4198479652404785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.383576363325119}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8012452125549316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7859658002853394},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573336660861969},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5638088583946228},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5331847667694092},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49976229667663574},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.4612428545951843},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4198479652404785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.383576363325119},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626094","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626094","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2137981452","https://openalex.org/W2168012540","https://openalex.org/W2306941105","https://openalex.org/W2510916058","https://openalex.org/W2562439797","https://openalex.org/W2737451031","https://openalex.org/W2749564305","https://openalex.org/W2798989012","https://openalex.org/W2886884189","https://openalex.org/W2896337548","https://openalex.org/W2916095201","https://openalex.org/W2947722490","https://openalex.org/W2962739339","https://openalex.org/W2965373594","https://openalex.org/W2965613425","https://openalex.org/W2975484689","https://openalex.org/W2979860911","https://openalex.org/W2981731882","https://openalex.org/W2982281530","https://openalex.org/W2983040767","https://openalex.org/W2990138404","https://openalex.org/W3007149065","https://openalex.org/W3009173941","https://openalex.org/W3032299950","https://openalex.org/W3034999214","https://openalex.org/W3041202055","https://openalex.org/W3045669112","https://openalex.org/W3046778441","https://openalex.org/W3048774754","https://openalex.org/W3049418699","https://openalex.org/W3082787146","https://openalex.org/W3089461531","https://openalex.org/W3092050177","https://openalex.org/W3092910147","https://openalex.org/W3099862073","https://openalex.org/W3107770647","https://openalex.org/W3133852917","https://openalex.org/W3160464195","https://openalex.org/W3177157146","https://openalex.org/W3180048861","https://openalex.org/W3202775307","https://openalex.org/W3212054443","https://openalex.org/W4200540109","https://openalex.org/W4220977484","https://openalex.org/W4224035554","https://openalex.org/W4248680373","https://openalex.org/W4288028050","https://openalex.org/W4308803850","https://openalex.org/W4367146278","https://openalex.org/W4379381489","https://openalex.org/W4381856327"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2941935829","https://openalex.org/W3013279174","https://openalex.org/W4317653575","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989"],"abstract_inverted_index":{"The":[0,76,141],"number":[1],"of":[2,21,32,62,73,111,128],"applications":[3],"in":[4,12,24],"sentiment":[5,63,150,165],"analysis":[6,64,151],"is":[7,15],"growing":[8],"daily,":[9],"and":[10,95,114,138,157],"research":[11],"this":[13,49],"field":[14],"increasing.":[16],"Despite":[17],"the":[18,46,60,74,109,112,116,126,129,134,148,162,179],"rapid":[19],"growth":[20],"data":[22,33],"sources":[23],"English,":[25],"low-resource":[26,66],"languages":[27,67],"suffer":[28],"from":[29],"a":[30,53,80,88,96],"lack":[31],"for":[34,65,177],"accurate":[35],"training":[36],"models.":[37,140],"Moreover,":[38,167],"users":[39],"cannot":[40],"trust":[41],"such":[42],"systems":[43],"without":[44],"explaining":[45],"output.":[47],"In":[48],"study,":[50],"we":[51,85,168],"propose":[52],"cross-lingual":[54,92,139,149],"deep":[55],"neural":[56],"model":[57,78,83,113,131,180],"to":[58,133,147,161],"improve":[59,108],"accuracy":[61],"while":[68],"providing":[69],"an":[70,103],"explainable":[71],"description":[72],"predictions.":[75],"proposed":[77,130,152],"contains":[79],"word":[81],"representation":[82],"where":[84],"use":[86],"XLM-RoBERTa,":[87],"pre-trained":[89],"contextualized":[90,164],"transformer-based":[91],"language":[93],"model,":[94],"long":[97],"short-term":[98],"memory":[99],"network":[100],"together":[101],"with":[102,181],"attention":[104,175],"mechanism":[105],"that":[106,119],"helps":[107],"explainability":[110],"detect":[115],"informative":[117],"words":[118],"impact":[120],"text":[121],"polarity.":[122],"Our":[123],"experiments":[124],"show":[125,143],"superiority":[127],"compared":[132,146,160],"state-of-the-art":[135],"mono-lingual":[136,163],"techniques":[137],"results":[142],"0.55%":[144],"improvement":[145,159,172],"by":[153],"Ghasemi":[154],"et":[155],"al.":[156],"15.08%":[158],"analysis.":[166],"achieve":[169],"0.54%":[170],"further":[171],"when":[173],"using":[174],"mechanisms":[176],"enhancing":[178],"explainability.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}