{"id":"https://openalex.org/W3158404076","doi":"https://doi.org/10.3233/ida-205130","title":"An attention network based on feature sequences for cross-domain sentiment classification","display_name":"An attention network based on feature sequences for cross-domain sentiment classification","publication_year":2021,"publication_date":"2021-04-20","ids":{"openalex":"https://openalex.org/W3158404076","doi":"https://doi.org/10.3233/ida-205130","mag":"3158404076"},"language":"en","primary_location":{"id":"doi:10.3233/ida-205130","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205130","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","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/A5101611041","display_name":"Jiana Meng","orcid":"https://orcid.org/0000-0002-7220-5748"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiana Meng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101633403","display_name":"Yu Dong","orcid":"https://orcid.org/0000-0001-9837-602X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yu Dong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101062728","display_name":"Yingchun Long","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingchun Long","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101724878","display_name":"Dandan Zhao","orcid":"https://orcid.org/0000-0002-0585-2742"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dandan Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5101633403"],"corresponding_institution_ids":[],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.8071,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.77523485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"25","issue":"3","first_page":"627","last_page":"640"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9983999729156494,"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":0.7947498559951782},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7392572164535522},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7020903825759888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6819266080856323},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6704017519950867},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6300998330116272},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.5958386659622192},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5912194848060608},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.504670262336731},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4563475549221039},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06978282332420349}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947498559951782},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7392572164535522},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7020903825759888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6819266080856323},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6704017519950867},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6300998330116272},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5958386659622192},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5912194848060608},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.504670262336731},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4563475549221039},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06978282332420349},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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":1,"locations":[{"id":"doi:10.3233/ida-205130","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ida-205130","pdf_url":null,"source":{"id":"https://openalex.org/S2498839158","display_name":"Intelligent Data Analysis","issn_l":"1088-467X","issn":["1088-467X","1571-4128"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Data Analysis","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2047080968","https://openalex.org/W2064675550","https://openalex.org/W2112796928","https://openalex.org/W2115403315","https://openalex.org/W2122838776","https://openalex.org/W2146338426","https://openalex.org/W2153353890","https://openalex.org/W2165698076","https://openalex.org/W2214409633","https://openalex.org/W2739077999","https://openalex.org/W2741989495","https://openalex.org/W2744871919","https://openalex.org/W2798825052","https://openalex.org/W2809229334","https://openalex.org/W2887280559","https://openalex.org/W2943360842","https://openalex.org/W2945801692","https://openalex.org/W2955109214","https://openalex.org/W2982784916","https://openalex.org/W3000990987","https://openalex.org/W6608787117","https://openalex.org/W6637618735"],"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":[0,131],"difficulty":[1],"of":[2,104,114,123],"cross-domain":[3,34,135,149],"text":[4,82],"sentiment":[5,35,136,150],"classification":[6,151],"is":[7],"that":[8,140],"the":[9,13,17,45,63,76,81,88,93,97,102,105,121,124,128,145],"data":[10,118],"distributions":[11],"in":[12],"source":[14,94],"domain":[15,19,95,99,117],"and":[16,65,100,127],"target":[18,98,116],"are":[20],"inconsistent.":[21],"This":[22],"paper":[23],"proposes":[24],"an":[25],"attention":[26,46,129],"network":[27,55],"based":[28],"on":[29,39,62,92,134],"feature":[30,60,83],"sequences":[31],"(ANFS)":[32],"for":[33,148],"classification,":[36],"which":[37],"focuses":[38],"important":[40],"semantic":[41],"features":[42],"by":[43],"using":[44],"mechanism.":[47],"Particularly,":[48],"ANFS":[49,89,141],"uses":[50,67],"a":[51,68,111],"three-layer":[52],"convolutional":[53,106],"neural":[54],"(CNN)":[56],"to":[57,74,96,119],"perform":[58],"deep":[59],"extraction":[61],"text,":[64],"then":[66,108],"bidirectional":[69],"long":[70],"short-term":[71],"memory":[72],"(BiLSTM)":[73],"capture":[75],"long-term":[77],"dependency":[78],"relationship":[79],"among":[80],"sequences.":[84],"We":[85],"first":[86],"transfer":[87],"model":[90,122],"trained":[91],"share":[101],"parameters":[103],"layer;":[107],"we":[109],"use":[110],"small":[112],"amount":[113],"labeled":[115],"fine-tune":[120],"BiLSTM":[125],"layer":[126],"layer.":[130],"experimental":[132],"results":[133],"analysis":[137],"tasks":[138],"demonstrate":[139],"can":[142],"significantly":[143],"outperform":[144],"state-of-the-art":[146],"methods":[147],"problems.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}