{"id":"https://openalex.org/W3033177507","doi":"https://doi.org/10.1145/3390557.3394133","title":"Unsupervised Bilingual Sentiment Word Embeddings for Cross-lingual Sentiment Classification","display_name":"Unsupervised Bilingual Sentiment Word Embeddings for Cross-lingual Sentiment Classification","publication_year":2020,"publication_date":"2020-05-08","ids":{"openalex":"https://openalex.org/W3033177507","doi":"https://doi.org/10.1145/3390557.3394133","mag":"3033177507"},"language":"en","primary_location":{"id":"doi:10.1145/3390557.3394133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3390557.3394133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-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/A5024362446","display_name":"Ma Chunyu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyu Ma","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016651990","display_name":"Weiran Xu","orcid":"https://orcid.org/0000-0002-9416-7666"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiran Xu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.5417,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73177275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"180","last_page":"183"},"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9932000041007996,"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":0.8464540839195251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7499855756759644},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7158695459365845},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5887549519538879},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5701983571052551},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.5390689969062805},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.5315259099006653},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.4540187120437622},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42100217938423157},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.26315850019454956},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17580723762512207}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8464540839195251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7499855756759644},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7158695459365845},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5887549519538879},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5701983571052551},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.5390689969062805},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.5315259099006653},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.4540187120437622},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42100217938423157},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.26315850019454956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17580723762512207},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3390557.3394133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3390557.3394133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 the 4th International Conference on Innovation in Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7699999809265137,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2160660844","https://openalex.org/W2250773991","https://openalex.org/W2294774419","https://openalex.org/W2493916176","https://openalex.org/W2514567832","https://openalex.org/W2577454849","https://openalex.org/W2740132093","https://openalex.org/W2741602058","https://openalex.org/W2762484717","https://openalex.org/W2889894161","https://openalex.org/W2962722345","https://openalex.org/W2962750587","https://openalex.org/W2963793519","https://openalex.org/W4212774754","https://openalex.org/W4391156274"],"related_works":["https://openalex.org/W2888662092","https://openalex.org/W3205826705","https://openalex.org/W2903394456","https://openalex.org/W2902285665","https://openalex.org/W2150818832","https://openalex.org/W2975174210","https://openalex.org/W2244029015","https://openalex.org/W2287843335","https://openalex.org/W947140380","https://openalex.org/W3186997021"],"abstract_inverted_index":{"In":[0,35],"recent":[1],"years,":[2],"bilingual":[3,19],"word":[4,20,43],"embeddings":[5],"have":[6],"been":[7],"used":[8],"to":[9,30,97,105],"promote":[10],"sentiment":[11,33,91,106,122],"classification":[12,123],"task":[13],"in":[14,61],"low-resource":[15],"languages.":[16],"However,":[17],"existing":[18],"embedding":[21],"methods":[22],"either":[23],"require":[24],"annotated":[25,50],"cross-lingual":[26,121,131],"data":[27],"or":[28],"fail":[29],"capture":[31],"enough":[32],"information.":[34],"this":[36],"paper,":[37],"we":[38,65,87],"propose":[39],"Unsupervised":[40],"Bilingual":[41],"Sentiment":[42],"Embeddings":[44],"(UBSE),":[45],"which":[46,129],"only":[47],"need":[48],"source-language":[49],"corpora":[51],"and":[52,73,112],"a":[53,67,89],"monolingual":[54,90],"sentimental":[55],"lexicon.":[56],"This":[57],"method":[58],"is":[59],"constructed":[60],"an":[62],"unsupervised":[63],"way,":[64],"pre-train":[66],"projection":[68],"matrix":[69],"between":[70],"the":[71,94,99,116],"source":[72,95],"target":[74],"languages":[75],"using":[76,82],"Generative":[77],"Adversarial":[78],"Nets":[79],"(GAN)":[80],"without":[81],"any":[83],"parallel":[84],"corpora.":[85],"Further,":[86],"incorporate":[88],"lexicon":[92],"from":[93],"language":[96],"fine-tune":[98],"model,":[100],"making":[101],"it":[102],"more":[103],"sensitive":[104],"implication.":[107],"Experiments":[108],"on":[109,119],"Spanish,":[110],"Catalan":[111],"Basque":[113],"demonstrate":[114],"that":[115],"proposed":[117],"approach":[118],"sentence-level":[120],"significantly":[124],"outperforms":[125],"competitive":[126],"baseline":[127],"models":[128],"use":[130],"dictionaries,":[132],"even":[133],"comparable":[134],"with":[135],"translation":[136],"based":[137],"methods.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}