{"id":"https://openalex.org/W2943360842","doi":"https://doi.org/10.3390/info10050162","title":"Cross-Domain Text Sentiment Analysis Based on CNN_FT Method","display_name":"Cross-Domain Text Sentiment Analysis Based on CNN_FT Method","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2943360842","doi":"https://doi.org/10.3390/info10050162","mag":"2943360842"},"language":"en","primary_location":{"id":"doi:10.3390/info10050162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10050162","pdf_url":"https://www.mdpi.com/2078-2489/10/5/162/pdf?version=1558351846","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/10/5/162/pdf?version=1558351846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101611041","display_name":"Jiana Meng","orcid":"https://orcid.org/0000-0002-7220-5748"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiana Meng","raw_affiliation_strings":["School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067300163","display_name":"Yingchun Long","orcid":null},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchun Long","raw_affiliation_strings":["School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024011609","display_name":"Yuhai Yu","orcid":"https://orcid.org/0000-0002-7827-3143"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuhai Yu","raw_affiliation_strings":["School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101724879","display_name":"Dandan Zhao","orcid":"https://orcid.org/0000-0002-6559-9507"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dandan Zhao","raw_affiliation_strings":["School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100319073","display_name":"Shuang Liu","orcid":"https://orcid.org/0000-0001-8766-7235"},"institutions":[{"id":"https://openalex.org/I61565387","display_name":"Dalian Minzu University","ror":"https://ror.org/02hxfx521","country_code":"CN","type":"education","lineage":["https://openalex.org/I61565387"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Liu","raw_affiliation_strings":["School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science & Engineering, Dalian Minzu University, Dalian 116600, China","institution_ids":["https://openalex.org/I61565387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024011609"],"corresponding_institution_ids":["https://openalex.org/I61565387"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":2.1677,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.90557522,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"162","last_page":"162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9987000226974487,"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":0.9987000226974487,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9944999814033508,"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":0.9909999966621399,"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":0.8086084127426147},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.746870756149292},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7344467639923096},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7124963998794556},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.6542590260505676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6498770713806152},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6357550621032715},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5994642972946167},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5266456604003906},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4236196279525757},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.420732319355011},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3899618685245514},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34743571281433105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33162158727645874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10240063071250916}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8086084127426147},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.746870756149292},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7344467639923096},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7124963998794556},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.6542590260505676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6498770713806152},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6357550621032715},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5994642972946167},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5266456604003906},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4236196279525757},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.420732319355011},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3899618685245514},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34743571281433105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33162158727645874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10240063071250916},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/info10050162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10050162","pdf_url":"https://www.mdpi.com/2078-2489/10/5/162/pdf?version=1558351846","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a129720dc5ec447e904175f9efaca0da","is_oa":true,"landing_page_url":"https://doaj.org/article/a129720dc5ec447e904175f9efaca0da","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information, Vol 10, Iss 5, p 162 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/10/5/162/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info10050162","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info10050162","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info10050162","pdf_url":"https://www.mdpi.com/2078-2489/10/5/162/pdf?version=1558351846","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2071443865","display_name":null,"funder_award_id":"201805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3041171608","display_name":null,"funder_award_id":"61876031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4339055654","display_name":null,"funder_award_id":"No. 61876031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4795869032","display_name":null,"funder_award_id":"20180550","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G680645852","display_name":null,"funder_award_id":"2018055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7836423780","display_name":null,"funder_award_id":"Liaoning","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G845299287","display_name":null,"funder_award_id":"20180550921","funder_id":"https://openalex.org/F4320323086","funder_display_name":"Natural Science Foundation of Liaoning Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323086","display_name":"Natural Science Foundation of Liaoning Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2943360842.pdf","grobid_xml":"https://content.openalex.org/works/W2943360842.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W1614298861","https://openalex.org/W1731081199","https://openalex.org/W1904365287","https://openalex.org/W1971246129","https://openalex.org/W1985697265","https://openalex.org/W2045152679","https://openalex.org/W2049434052","https://openalex.org/W2055103902","https://openalex.org/W2064230935","https://openalex.org/W2122838776","https://openalex.org/W2146338426","https://openalex.org/W2153353890","https://openalex.org/W2153579005","https://openalex.org/W2158108973","https://openalex.org/W2163302275","https://openalex.org/W2164524038","https://openalex.org/W2165698076","https://openalex.org/W2166706824","https://openalex.org/W2252215182","https://openalex.org/W2341914330","https://openalex.org/W2363300041","https://openalex.org/W2551835155","https://openalex.org/W2567698949","https://openalex.org/W2573312618","https://openalex.org/W2600116049","https://openalex.org/W2604474127","https://openalex.org/W2741989495","https://openalex.org/W2910656009","https://openalex.org/W2964236337","https://openalex.org/W2964278684","https://openalex.org/W2998115938","https://openalex.org/W2998704965","https://openalex.org/W4285719527","https://openalex.org/W4293659930","https://openalex.org/W4294170691","https://openalex.org/W6637618735","https://openalex.org/W6640036494","https://openalex.org/W6643033937","https://openalex.org/W6680532216","https://openalex.org/W6682691769","https://openalex.org/W6713955831"],"related_works":["https://openalex.org/W2810679507","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3183901164","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W4206357785","https://openalex.org/W3192840557","https://openalex.org/W4281381188","https://openalex.org/W3167935049"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,38,113],"is":[2],"one":[3],"of":[4,135],"the":[5,10,13,17,25,29,42,60,65,68,72,76,85,88,92,98,101,105,110,115,126,129,136,142],"popular":[6],"methods":[7],"for":[8,128],"solving":[9],"problem":[11],"that":[12,141],"models":[14,99],"built":[15],"on":[16,41],"source":[18,61,77,102],"domain":[19,27,62,80,103],"cannot":[20],"be":[21],"directly":[22],"applied":[23],"to":[24,56,104,124],"target":[26,79,106,130],"in":[28,67,87,118],"cross-domain":[30,137],"sentiment":[31],"classification.":[32],"This":[33],"paper":[34,120],"proposes":[35],"a":[36,51,146],"transfer":[37,97,112],"method":[39,116,144],"based":[40],"multi-layer":[43],"convolutional":[44,52,69],"neural":[45,53],"network":[46,54,127],"(CNN).":[47],"Interestingly,":[48],"we":[49,83],"construct":[50],"model":[55],"extract":[57],"features":[58],"from":[59,100],"and":[63,71,78,96],"share":[64],"weights":[66,86],"layer":[70,74],"pooling":[73],"between":[75],"samples.":[81],"Next,":[82],"fine-tune":[84],"last":[89],"layer,":[90,95],"named":[91],"fully":[93],"connected":[94],"domain.":[107,131],"Comparing":[108],"with":[109],"classical":[111],"methods,":[114],"proposed":[117,143],"this":[119],"does":[121],"not":[122],"need":[123],"retrain":[125],"The":[132],"experimental":[133],"evaluation":[134],"data":[138],"set":[139],"shows":[140],"achieves":[145],"relatively":[147],"good":[148],"performance.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2019-05-09T00:00:00"}