{"id":"https://openalex.org/W2940589961","doi":"https://doi.org/10.1109/tkde.2019.2913379","title":"Cross-Domain Sentiment Encoding through Stochastic Word Embedding","display_name":"Cross-Domain Sentiment Encoding through Stochastic Word Embedding","publication_year":2019,"publication_date":"2019-04-27","ids":{"openalex":"https://openalex.org/W2940589961","doi":"https://doi.org/10.1109/tkde.2019.2913379","mag":"2940589961"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2019.2913379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2913379","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.manchester.ac.uk/en/publications/9f5bbb63-78d6-4539-8997-23f247120550","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043525989","display_name":"Yanbin Hao","orcid":"https://orcid.org/0000-0002-0695-1566"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yanbin Hao","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048659336","display_name":"Tingting Mu","orcid":"https://orcid.org/0000-0001-6315-3432"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tingting Mu","raw_affiliation_strings":["School of Computer Science, The University of Manchester, Manchester, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051332325","display_name":"Richang Hong","orcid":"https://orcid.org/0000-0001-5461-3986"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Richang Hong","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101993173","display_name":"Xueliang Liu","orcid":"https://orcid.org/0000-0003-0077-9715"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueliang Liu","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079825375","display_name":"John Y. Goulermas","orcid":"https://orcid.org/0000-0003-0381-124X"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Y. Goulermas","raw_affiliation_strings":["Department of Computer Science, The University of Liverpool, Liverpool, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5043525989"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":4.3412,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.95456967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"32","issue":"10","first_page":"1909","last_page":"1922"},"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":0.9995999932289124,"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":0.9983000159263611,"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":0.8774662017822266},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7493706941604614},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6503293514251709},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6452065706253052},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.5987883806228638},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5805638432502747},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5795770287513733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5765606164932251},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5507253408432007},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5002825260162354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48331546783447266},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4322899281978607},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42574232816696167},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4126797020435333},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3316177725791931}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8774662017822266},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7493706941604614},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6503293514251709},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6452065706253052},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.5987883806228638},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5805638432502747},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5795770287513733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5765606164932251},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5507253408432007},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5002825260162354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48331546783447266},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4322899281978607},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42574232816696167},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4126797020435333},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3316177725791931},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tkde.2019.2913379","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2019.2913379","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/9f5bbb63-78d6-4539-8997-23f247120550","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/9f5bbb63-78d6-4539-8997-23f247120550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Hao, Y, Mu, T, Hong, R, Wang, M, Liu, X & Goulermas, J 2019, 'Cross-domain Sentiment Encoding through Stochastic Word Embedding', IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2019.2913379","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.atira.dk:publications/9f5bbb63-78d6-4539-8997-23f247120550","is_oa":true,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/crossdomain-sentiment-encoding-through-stochastic-word-embedding(9f5bbb63-78d6-4539-8997-23f247120550).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Hao, Y, Mu, T, Hong, R, Wang, M, Liu, X & Goulermas, J 2019, 'Cross-domain Sentiment Encoding through Stochastic Word Embedding', IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2019.2913379","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/9f5bbb63-78d6-4539-8997-23f247120550","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/9f5bbb63-78d6-4539-8997-23f247120550","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Hao, Y, Mu, T, Hong, R, Wang, M, Liu, X & Goulermas, J 2019, 'Cross-domain Sentiment Encoding through Stochastic Word Embedding', IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/TKDE.2019.2913379","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2351125877","display_name":null,"funder_award_id":"61732007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3308505718","display_name":null,"funder_award_id":"61732008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5232388117","display_name":null,"funder_award_id":"61725203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8795738074","display_name":null,"funder_award_id":"61722204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W113837456","https://openalex.org/W193333623","https://openalex.org/W1614298861","https://openalex.org/W1731081199","https://openalex.org/W1775665607","https://openalex.org/W1882958252","https://openalex.org/W1970942930","https://openalex.org/W1973116500","https://openalex.org/W2006475033","https://openalex.org/W2025413459","https://openalex.org/W2025768430","https://openalex.org/W2026164260","https://openalex.org/W2029181554","https://openalex.org/W2035265584","https://openalex.org/W2067624665","https://openalex.org/W2095579012","https://openalex.org/W2096873754","https://openalex.org/W2118585731","https://openalex.org/W2148966043","https://openalex.org/W2151752537","https://openalex.org/W2153353890","https://openalex.org/W2157444450","https://openalex.org/W2160208155","https://openalex.org/W2163302275","https://openalex.org/W2166706824","https://openalex.org/W2187089797","https://openalex.org/W2248676660","https://openalex.org/W2250539671","https://openalex.org/W2306941105","https://openalex.org/W2341914330","https://openalex.org/W2399573548","https://openalex.org/W2520610372","https://openalex.org/W2567698949","https://openalex.org/W2598013184","https://openalex.org/W2605323333","https://openalex.org/W2625124642","https://openalex.org/W2741989495","https://openalex.org/W2742256643","https://openalex.org/W2756484070","https://openalex.org/W2767280341","https://openalex.org/W2809229334","https://openalex.org/W2810985610","https://openalex.org/W2884771968","https://openalex.org/W2962887999","https://openalex.org/W2963826681","https://openalex.org/W3105558557","https://openalex.org/W3152368098","https://openalex.org/W6600949241","https://openalex.org/W6607967268","https://openalex.org/W6636510571","https://openalex.org/W6637618735","https://openalex.org/W6637998964","https://openalex.org/W6639480849","https://openalex.org/W6674764686","https://openalex.org/W6677656871","https://openalex.org/W6682133854","https://openalex.org/W6682261130","https://openalex.org/W6683161245","https://openalex.org/W6684149856","https://openalex.org/W6712656586","https://openalex.org/W6736489294","https://openalex.org/W6793575156","https://openalex.org/W7018396312"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W4378714697","https://openalex.org/W1581723585","https://openalex.org/W2294330161","https://openalex.org/W2804553224","https://openalex.org/W1510159504","https://openalex.org/W2253069048","https://openalex.org/W140709781","https://openalex.org/W2940472653"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"is":[2,35,43,103,148,165,179],"an":[3],"important":[4],"topic":[5],"concerning":[6],"identification":[7],"of":[8,23,65,153],"feelings,":[9],"attitudes,":[10],"emotions":[11],"and":[12,37,93,97,127,134,150,177,184],"opinions":[13],"from":[14,173],"text.":[15],"To":[16],"automate":[17],"such":[18,136],"analysis,":[19],"a":[20,44,66,131],"large":[21],"amount":[22],"example":[24],"text":[25],"needs":[26],"to":[27,47,82,106,122,158],"be":[28],"manually":[29],"annotated":[30,53],"for":[31],"model":[32,95,117],"training.":[33,118],"This":[34],"laborious":[36],"expensive,":[38],"but":[39],"the":[40,49,63,74,84,124,154],"cross-domain":[41,85,160],"technique":[42,157],"key":[45],"solution":[46],"reducing":[48],"cost":[50],"by":[51,88],"reusing":[52],"reviews":[54],"across":[55,71],"domains.":[56,72],"However,":[57],"its":[58],"success":[59],"largely":[60],"relies":[61],"on":[62],"learning":[64,87],"robust":[67],"common":[68],"representation":[69,86],"space":[70],"In":[73],"recent":[75],"years,":[76],"significant":[77],"effort":[78],"has":[79],"been":[80],"invested":[81],"improve":[83],"designing":[89],"increasingly":[90],"more":[91,114,138],"complex":[92],"elaborate":[94],"inputs":[96],"architectures.":[98],"We":[99],"support":[100],"that":[101],"it":[102,178],"not":[104],"necessary":[105],"increase":[107],"design":[108],"complexity":[109],"as":[110],"this":[111],"inevitably":[112],"consumes":[113],"time":[115],"in":[116],"Instead,":[119],"we":[120],"propose":[121],"explore":[123],"word":[125],"polarity":[126],"occurrence":[128],"information":[129,137],"through":[130],"simple":[132],"mapping":[133],"encode":[135],"accurately":[139],"whilst":[140],"managing":[141],"lower":[142],"computational":[143],"costs.":[144],"The":[145],"proposed":[146],"approach":[147],"unique":[149],"takes":[151],"advantage":[152],"stochastic":[155],"embedding":[156],"tackle":[159],"sentiment":[161],"alignment.":[162],"Its":[163],"effectiveness":[164],"benchmarked":[166],"with":[167],"over":[168],"ten":[169,182],"data":[170],"tasks":[171],"constructed":[172],"two":[174],"review":[175],"corpora":[176],"compared":[180],"against":[181],"classical":[183],"state-of-the-art":[185],"methods.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
