{"id":"https://openalex.org/W3022478400","doi":"https://doi.org/10.1109/access.2020.2992063","title":"Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis","display_name":"Multi-View Deep Network: A Deep Model Based on Learning Features From Heterogeneous Neural Networks for Sentiment Analysis","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3022478400","doi":"https://doi.org/10.1109/access.2020.2992063","mag":"3022478400"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2992063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085370.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085370.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087551907","display_name":"Hossein Sadr","orcid":"https://orcid.org/0000-0003-4728-8278"},"institutions":[{"id":"https://openalex.org/I4210098966","display_name":"Islamic Azad University Rasht Branch","ror":"https://ror.org/0151gh112","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I4210098966"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hossein Sadr","raw_affiliation_strings":["Rasht Branch, Islamic Azad University, Rasht, Iran"],"raw_orcid":"https://orcid.org/0000-0003-4728-8278","affiliations":[{"raw_affiliation_string":"Rasht Branch, Islamic Azad University, Rasht, Iran","institution_ids":["https://openalex.org/I4210098966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045097170","display_name":"Mir Mohsen Pedram","orcid":"https://orcid.org/0000-0002-0674-4428"},"institutions":[{"id":"https://openalex.org/I181744264","display_name":"Kharazmi University","ror":"https://ror.org/05hsgex59","country_code":"IR","type":"education","lineage":["https://openalex.org/I181744264"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mir Mohsen Pedram","raw_affiliation_strings":["Faculty of Engineering, Kharazmi University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0002-0674-4428","affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Kharazmi University, Tehran, Iran","institution_ids":["https://openalex.org/I181744264"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089396669","display_name":"Mohammad Teshnehlab","orcid":"https://orcid.org/0000-0003-2498-9653"},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammad Teshnehlab","raw_affiliation_strings":["Industrial Control Center of Excellence, Faculty of Electrical and Computer Engineering, K. N. Toosi University, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0003-2498-9653","affiliations":[{"raw_affiliation_string":"Industrial Control Center of Excellence, Faculty of Electrical and Computer Engineering, K. N. Toosi University, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":8.6663,"has_fulltext":true,"cited_by_count":86,"citation_normalized_percentile":{"value":0.98195852,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"8","issue":null,"first_page":"86984","last_page":"86997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9984999895095825,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8146322965621948},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7242323160171509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6640360355377197},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5766167044639587},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5102763175964355},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4874839782714844},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4072790741920471}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146322965621948},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7242323160171509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6640360355377197},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5766167044639587},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5102763175964355},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4874839782714844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4072790741920471}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2992063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085370.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:72dd238c0a764ff09a906298ab29f34e","is_oa":true,"landing_page_url":"https://doaj.org/article/72dd238c0a764ff09a906298ab29f34e","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 86984-86997 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2992063","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2992063","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09085370.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022478400.pdf","grobid_xml":"https://content.openalex.org/works/W3022478400.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W62380329","https://openalex.org/W1527575280","https://openalex.org/W1644641054","https://openalex.org/W1832693441","https://openalex.org/W1889268436","https://openalex.org/W1933349210","https://openalex.org/W2015175493","https://openalex.org/W2029163572","https://openalex.org/W2037603696","https://openalex.org/W2076063813","https://openalex.org/W2100235303","https://openalex.org/W2101456598","https://openalex.org/W2104246439","https://openalex.org/W2120615054","https://openalex.org/W2130942839","https://openalex.org/W2139501017","https://openalex.org/W2142920810","https://openalex.org/W2145234365","https://openalex.org/W2153579005","https://openalex.org/W2156872152","https://openalex.org/W2157331557","https://openalex.org/W2158498053","https://openalex.org/W2158899491","https://openalex.org/W2163455955","https://openalex.org/W2167660864","https://openalex.org/W2170240176","https://openalex.org/W2184188583","https://openalex.org/W2186500555","https://openalex.org/W2202025056","https://openalex.org/W2215041843","https://openalex.org/W2251939518","https://openalex.org/W2265228180","https://openalex.org/W2342662179","https://openalex.org/W2407812036","https://openalex.org/W2418258728","https://openalex.org/W2577431043","https://openalex.org/W2590019597","https://openalex.org/W2618099328","https://openalex.org/W2619383789","https://openalex.org/W2741701552","https://openalex.org/W2742947407","https://openalex.org/W2758611985","https://openalex.org/W2767547957","https://openalex.org/W2794284562","https://openalex.org/W2884001105","https://openalex.org/W2889389037","https://openalex.org/W2892816441","https://openalex.org/W2897811365","https://openalex.org/W2912723748","https://openalex.org/W2919115771","https://openalex.org/W2930181195","https://openalex.org/W2952198026","https://openalex.org/W2952230511","https://openalex.org/W2963012544","https://openalex.org/W2963355447","https://openalex.org/W2963468261","https://openalex.org/W3013612165","https://openalex.org/W3122451732","https://openalex.org/W3122775348","https://openalex.org/W4294170691","https://openalex.org/W6602569864","https://openalex.org/W6631516269","https://openalex.org/W6639364127","https://openalex.org/W6679436768","https://openalex.org/W6681427677","https://openalex.org/W6682691769","https://openalex.org/W6682782370","https://openalex.org/W6683738474","https://openalex.org/W6685053522","https://openalex.org/W6686207219","https://openalex.org/W6691459498","https://openalex.org/W6732006236"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W4380075502","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W3000197790","https://openalex.org/W4315865067","https://openalex.org/W3208304128","https://openalex.org/W2979433843"],"abstract_inverted_index":{"By":[0],"the":[1,13,19,69,132,141,167,170,172],"development":[2],"of":[3,12,21,110,135,152,169],"social":[4],"media,":[5],"sentiment":[6,137],"analysis":[7,138],"has":[8,186],"changed":[9],"to":[10,27,106,113,119,130,162],"one":[11],"most":[14],"remarkable":[15],"research":[16],"topics":[17],"in":[18,61],"field":[20],"natural":[22],"language":[23],"processing":[24],"which":[25],"tries":[26],"dig":[28],"information":[29],"from":[30,79,89,123,156],"textual":[31],"data":[32],"containing":[33],"users'":[34],"opinions":[35],"or":[36],"attitudes":[37],"toward":[38],"a":[39],"particular":[40],"topic.":[41],"In":[42],"this":[43,59],"regard,":[44],"deep":[45,72,101,148,175,181],"neural":[46,73,102,125,160,182],"networks":[47,74,91,103,126,161,183],"have":[48,54],"emerged":[49],"as":[50,96],"promising":[51],"techniques":[52],"that":[53,71,85],"been":[55],"extensively":[56],"used":[57,95],"for":[58],"aim":[60],"recent":[62],"years":[63],"and":[64,158,189],"obtained":[65],"significant":[66],"results.":[67],"Considering":[68],"fact":[70],"can":[75,82,92],"automatically":[76],"extract":[77,107],"features":[78,111,121,154],"data,":[80],"it":[81],"be":[83,93],"claimed":[84],"intermediate":[86,153],"representations":[87],"extracted":[88,122,155],"these":[90],"also":[94,185],"appropriate":[97],"features.":[98],"While":[99],"different":[100],"are":[104],"able":[105],"various":[108],"types":[109],"due":[112],"their":[114],"distinct":[115],"structures,":[116],"we":[117],"decided":[118],"combine":[120],"heterogeneous":[124],"using":[127],"multi-view":[128,147,174],"classifiers":[129],"enhance":[131],"overall":[133],"performance":[134],"document-level":[136],"by":[139],"considering":[140],"correlation":[142],"between":[143],"them.":[144],"The":[145],"proposed":[146,173],"network":[149,176],"makes":[150],"use":[151],"convolutional":[157],"recursive":[159],"perform":[163],"classification.":[164],"Based":[165],"on":[166],"results":[168],"experiments,":[171],"not":[177],"only":[178],"outperforms":[179],"single-view":[180],"but":[184],"superior":[187],"efficiency":[188],"generalization":[190],"performance.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":19},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
