{"id":"https://openalex.org/W4399157362","doi":"https://doi.org/10.3389/fdata.2024.1330392","title":"Analyzing political party positions through multi-language twitter text embeddings","display_name":"Analyzing political party positions through multi-language twitter text embeddings","publication_year":2024,"publication_date":"2024-05-30","ids":{"openalex":"https://openalex.org/W4399157362","doi":"https://doi.org/10.3389/fdata.2024.1330392","pmid":"https://pubmed.ncbi.nlm.nih.gov/38873284"},"language":"en","primary_location":{"id":"doi:10.3389/fdata.2024.1330392","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fdata.2024.1330392","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1330392/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1330392/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006335513","display_name":"Jinghui Chen","orcid":"https://orcid.org/0000-0002-1486-4526"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Jinghui Chen","raw_affiliation_strings":["Graduate Institute for Advanced Studies (SOKENDAI), Hayama, Japan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute for Advanced Studies (SOKENDAI), Hayama, Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102770405","display_name":"Takayuki Mizuno","orcid":"https://orcid.org/0000-0003-1332-076X"},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]},{"id":"https://openalex.org/I200475212","display_name":"The Graduate University for Advanced Studies, SOKENDAI","ror":"https://ror.org/0516ah480","country_code":"JP","type":"education","lineage":["https://openalex.org/I200475212"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takayuki Mizuno","raw_affiliation_strings":["Graduate Institute for Advanced Studies (SOKENDAI), Hayama, Japan","National Institute of Informatics, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute for Advanced Studies (SOKENDAI), Hayama, Japan","institution_ids":["https://openalex.org/I200475212"]},{"raw_affiliation_string":"National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083028273","display_name":"Shohei Doi","orcid":"https://orcid.org/0000-0003-1647-8511"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shohei Doi","raw_affiliation_strings":["Graduate School of Law and Public Policy School, Hokkaido University, Hokkaido, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Law and Public Policy School, Hokkaido University, Hokkaido, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006335513"],"corresponding_institution_ids":["https://openalex.org/I184597095","https://openalex.org/I200475212"],"apc_list":{"value":1285,"currency":"USD","value_usd":1285},"apc_paid":{"value":1285,"currency":"USD","value_usd":1285},"fwci":2.9608,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92948466,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"1330392","last_page":"1330392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9675999879837036,"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/T10557","display_name":"Social Media and Politics","score":0.9603000283241272,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7318027019500732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6589018106460571},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6377687454223633},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6289370059967041},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6005892157554626},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5581924915313721},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5527870059013367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284521579742432},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5071842670440674},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.5034040808677673},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.49265462160110474},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42641863226890564},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.41670647263526917},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3805757164955139},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.18832659721374512}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7318027019500732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6589018106460571},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6377687454223633},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6289370059967041},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6005892157554626},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5581924915313721},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5527870059013367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284521579742432},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5071842670440674},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.5034040808677673},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.49265462160110474},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42641863226890564},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.41670647263526917},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3805757164955139},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.18832659721374512},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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:10.3389/fdata.2024.1330392","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fdata.2024.1330392","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1330392/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},{"id":"pmid:38873284","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38873284","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11169868","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11169868","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11169868/pdf/fdata-07-1330392.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Front Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:d79730ade11a46f0bc969dd9f8921e0e","is_oa":false,"landing_page_url":"https://doaj.org/article/d79730ade11a46f0bc969dd9f8921e0e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers in Big Data, Vol 7 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3389/fdata.2024.1330392","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3389/fdata.2024.1330392","pdf_url":"https://public-pages-files-2025.frontiersin.org/journals/big-data/articles/10.3389/fdata.2024.1330392/pdf","source":{"id":"https://openalex.org/S4210201220","display_name":"Frontiers in Big Data","issn_l":"2624-909X","issn":["2624-909X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320527","host_organization_name":"Frontiers Media","host_organization_lineage":["https://openalex.org/P4310320527"],"host_organization_lineage_names":["Frontiers Media"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G8557931444","display_name":"\u30c7\u30fc\u30bf\u79d1\u5b66\u3067\u89e3\u660e\u3059\u308b\u65b0\u3057\u3044\u56fd\u969b\u653f\u6cbb\u7d4c\u6e08\u79e9\u5e8f","funder_award_id":"23H00042","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399157362.pdf"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1580899010","https://openalex.org/W1586664008","https://openalex.org/W1614298861","https://openalex.org/W2167257715","https://openalex.org/W2227064546","https://openalex.org/W2406594196","https://openalex.org/W2419499132","https://openalex.org/W2794635328","https://openalex.org/W2803570003","https://openalex.org/W2883730939","https://openalex.org/W2896457183","https://openalex.org/W3006364387","https://openalex.org/W3031473178","https://openalex.org/W3087460050","https://openalex.org/W3100806282","https://openalex.org/W3103365499","https://openalex.org/W3155752577","https://openalex.org/W3195149017","https://openalex.org/W3197876970","https://openalex.org/W4200002231","https://openalex.org/W4200171609","https://openalex.org/W4212953939","https://openalex.org/W4299574851","https://openalex.org/W4362679631","https://openalex.org/W6636510571","https://openalex.org/W6713832303","https://openalex.org/W6755207826","https://openalex.org/W6779941907","https://openalex.org/W6800262691","https://openalex.org/W6800989902","https://openalex.org/W6803986028","https://openalex.org/W6851357555","https://openalex.org/W6920756602"],"related_works":["https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Traditional":[0],"monolingual":[1],"word":[2],"embedding":[3,111],"models":[4],"transform":[5],"words":[6,15,51],"into":[7],"high-dimensional":[8,22],"vectors":[9,19],"which":[10,46],"represent":[11],"semantics":[12],"relations":[13],"between":[14,18,61],"as":[16,26,239],"relationships":[17],"in":[20,37,87,124,147,246],"the":[21,34,43,65,73,93,108,181,192,206,231,247],"space.":[23],"They":[24],"serve":[25],"productive":[27],"tools":[28],"to":[29,72,83,107,120,151],"interpret":[30,128],"multifarious":[31],"aspects":[32],"of":[33,50,67,95,208],"social":[35,38,220],"world":[36],"science":[39],"research.":[40,227],"Building":[41],"on":[42,213],"previous":[44,226],"research":[45],"interprets":[47],"multifaceted":[48],"meanings":[49],"by":[52,59],"projecting":[53],"them":[54],"onto":[55],"word-level":[56,69,110,166,233],"dimensions":[57,71],"defined":[58,215],"differences":[60],"antonyms,":[62],"we":[63,136,203],"extend":[64],"architecture":[66,229,242],"establishing":[68],"cultural":[70],"sentence":[74],"level":[75],"and":[76,127,143,199,210,225,235],"adopt":[77,115,137],"a":[78,88,148,240],"Language-agnostic":[79],"BERT":[80],"model":[81],"(LaBSE)":[82],"detect":[84],"position":[85,153],"similarities":[86,154],"multi-language":[89,149],"environment.":[90],"We":[91,113,168],"assess":[92],"efficacy":[94],"our":[96,161,172,214],"sentence-level":[97,162,244],"methodology":[98,163,173,234],"using":[99,197],"Twitter":[100,138],"data":[101,139],"from":[102,131,140,180],"US":[103],"politicians,":[104],"comparing":[105],"it":[106],"traditional":[109,165],"model.":[112,167],"also":[114,169],"Latent":[116],"Dirichlet":[117],"Allocation":[118],"(LDA)":[119],"investigate":[121],"detailed":[122],"topics":[123,188],"these":[125],"tweets":[126],"politicians'":[129],"positions":[130,146,185],"different":[132,187],"angles.":[133],"In":[134],"addition,":[135],"Spanish":[141,200,211],"politicians":[142,212],"visualize":[144],"their":[145],"space":[150],"analyze":[152],"across":[155],"countries.":[156],"The":[157],"results":[158],"show":[159],"that":[160,171,183,205],"outperform":[164],"demonstrate":[170],"is":[174],"effective":[175],"dealing":[176],"with":[177,219],"fine-sorted":[178],"themes":[179],"result":[182],"political":[184,201,223],"towards":[186],"vary":[189],"even":[190],"within":[191],"same":[193],"politicians.":[194],"Through":[195],"verification":[196],"American":[198,209],"datasets,":[202],"find":[204],"positioning":[207],"liberal-conservative":[216],"axis":[217],"aligns":[218],"common":[221],"sense,":[222],"news,":[224],"Our":[228],"improves":[230],"standard":[232],"can":[236],"be":[237],"considered":[238],"useful":[241],"for":[243],"applications":[245],"future.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}