{"id":"https://openalex.org/W2954345346","doi":"https://doi.org/10.1109/access.2019.2926751","title":"Multimodal Emotion and Sentiment Modeling From Unstructured Big Data: Challenges, Architecture, & Techniques","display_name":"Multimodal Emotion and Sentiment Modeling From Unstructured Big Data: Challenges, Architecture, & Techniques","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2954345346","doi":"https://doi.org/10.1109/access.2019.2926751","mag":"2954345346"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2926751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755834.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/ielx7/6287639/8600701/08755834.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085526572","display_name":"Jasmine Kah Phooi Seng","orcid":"https://orcid.org/0000-0002-8071-9044"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Jasmine Kah Phooi Seng","raw_affiliation_strings":["School of Engineering and IT, University of New South Wales, Sydney, NSW, Australia"],"raw_orcid":"https://orcid.org/0000-0002-8071-9044","affiliations":[{"raw_affiliation_string":"School of Engineering and IT, University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073635669","display_name":"Li-Minn Ang","orcid":"https://orcid.org/0000-0002-2402-7529"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kenneth Li-Minn Ang","raw_affiliation_strings":["School of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia"],"raw_orcid":"https://orcid.org/0000-0002-2402-7529","affiliations":[{"raw_affiliation_string":"School of Information and Communication Technology, Griffith University, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I11701301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085526572"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1777,"has_fulltext":true,"cited_by_count":32,"citation_normalized_percentile":{"value":0.90646815,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"90982","last_page":"90998"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994999766349792,"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"}},"topics":[{"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9945999979972839,"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":0.9890999794006348,"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":0.8514262437820435},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7166281938552856},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6871791481971741},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6350754499435425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.558675229549408},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.545906126499176},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.45720866322517395},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.44970768690109253},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43703943490982056},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38576462864875793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37524983286857605},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33725619316101074},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.1232544481754303}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514262437820435},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7166281938552856},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6871791481971741},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6350754499435425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.558675229549408},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.545906126499176},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.45720866322517395},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.44970768690109253},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43703943490982056},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38576462864875793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37524983286857605},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33725619316101074},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.1232544481754303},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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:10.1109/access.2019.2926751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755834.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:eb3e8827e0364b259524145cae237f85","is_oa":true,"landing_page_url":"https://doaj.org/article/eb3e8827e0364b259524145cae237f85","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 7, Pp 90982-90998 (2019)","raw_type":"article"},{"id":"pmh:oai:eprints.qut.edu.au:214212","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402607","display_name":"QUT ePrints (Queensland University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I160993911","host_organization_name":"Queensland University of Technology","host_organization_lineage":["https://openalex.org/I160993911"],"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":"IEEE Access","raw_type":"Contribution to Journal"},{"id":"pmh:oai:research.usc.edu.au:usc:31138","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1109/ACCESS.2019.2926751","pdf_url":null,"source":{"id":"https://openalex.org/S4377196572","display_name":"USC Research Bank (University of the Sunshine Coast)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I174025329","host_organization_name":"University of the Sunshine Coast","host_organization_lineage":["https://openalex.org/I174025329"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2926751","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2926751","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08755834.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":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2954345346.pdf","grobid_xml":"https://content.openalex.org/works/W2954345346.grobid-xml"},"referenced_works_count":95,"referenced_works":["https://openalex.org/W149760548","https://openalex.org/W1133916940","https://openalex.org/W1518233497","https://openalex.org/W1577178816","https://openalex.org/W1964303812","https://openalex.org/W1974097091","https://openalex.org/W1974097586","https://openalex.org/W1991443799","https://openalex.org/W2020111801","https://openalex.org/W2024860760","https://openalex.org/W2031828545","https://openalex.org/W2040467972","https://openalex.org/W2044730465","https://openalex.org/W2050752817","https://openalex.org/W2058819080","https://openalex.org/W2059348974","https://openalex.org/W2061997062","https://openalex.org/W2064230935","https://openalex.org/W2066064791","https://openalex.org/W2067767241","https://openalex.org/W2071249869","https://openalex.org/W2073148270","https://openalex.org/W2074975950","https://openalex.org/W2079885973","https://openalex.org/W2084046180","https://openalex.org/W2090484432","https://openalex.org/W2093448167","https://openalex.org/W2097618823","https://openalex.org/W2098689807","https://openalex.org/W2105594594","https://openalex.org/W2106115875","https://openalex.org/W2120945046","https://openalex.org/W2121647436","https://openalex.org/W2122098299","https://openalex.org/W2122563357","https://openalex.org/W2123024445","https://openalex.org/W2123260696","https://openalex.org/W2126707560","https://openalex.org/W2128279859","https://openalex.org/W2133174069","https://openalex.org/W2139212933","https://openalex.org/W2140980071","https://openalex.org/W2149097201","https://openalex.org/W2151944524","https://openalex.org/W2164186291","https://openalex.org/W2168317269","https://openalex.org/W2171880639","https://openalex.org/W2177696193","https://openalex.org/W2191779256","https://openalex.org/W2198212055","https://openalex.org/W2203694272","https://openalex.org/W2251394420","https://openalex.org/W2251939518","https://openalex.org/W2261525379","https://openalex.org/W2292127689","https://openalex.org/W2294273408","https://openalex.org/W2401887077","https://openalex.org/W2408576377","https://openalex.org/W2427410881","https://openalex.org/W2462184353","https://openalex.org/W2479639417","https://openalex.org/W2496323672","https://openalex.org/W2537564435","https://openalex.org/W2552972371","https://openalex.org/W2570412145","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2585658440","https://openalex.org/W2611159092","https://openalex.org/W2611905122","https://openalex.org/W2620616187","https://openalex.org/W2624323315","https://openalex.org/W2734406139","https://openalex.org/W2736447684","https://openalex.org/W2739418057","https://openalex.org/W2740550900","https://openalex.org/W2787319633","https://openalex.org/W2809557711","https://openalex.org/W2963992782","https://openalex.org/W3008071179","https://openalex.org/W3097096317","https://openalex.org/W3099153556","https://openalex.org/W4205184193","https://openalex.org/W4240959780","https://openalex.org/W6606112040","https://openalex.org/W6665431894","https://openalex.org/W6674437205","https://openalex.org/W6678470764","https://openalex.org/W6678748127","https://openalex.org/W6684870849","https://openalex.org/W6687510999","https://openalex.org/W6687711781","https://openalex.org/W6691459498","https://openalex.org/W6691937106","https://openalex.org/W6731949722"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W3157828377","https://openalex.org/W4377992839","https://openalex.org/W2937168573","https://openalex.org/W2261525379","https://openalex.org/W2805468299","https://openalex.org/W2433688893","https://openalex.org/W4231652189","https://openalex.org/W2889935511","https://openalex.org/W2608358066"],"abstract_inverted_index":{"The":[0,91,148],"exponential":[1],"growth":[2],"of":[3,16,48,82,95,161],"multimodal":[4,83,102,106,140],"content":[5],"in":[6,31,145],"today's":[7],"competitive":[8],"business":[9],"environment":[10],"leads":[11],"to":[12,54,157],"a":[13,79,151],"huge":[14],"volume":[15],"unstructured":[17,55],"data.":[18,90],"Unstructured":[19],"big":[20,56,89],"data":[21,57,99,103,107,141],"has":[22],"no":[23],"particular":[24],"format":[25],"or":[26],"structure":[27],"and":[28,39,50,69,85,112,115,129],"can":[29],"be":[30],"any":[32],"form,":[33],"such":[34],"as":[35],"text,":[36],"audio,":[37],"images,":[38],"video.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"address":[45],"the":[46,73,123,130,139,146,159,162],"challenges":[47],"emotion":[49,68,84],"sentiment":[51,70,86],"modeling":[52,71,87],"due":[53],"with":[58],"different":[59],"modalities.":[60],"We":[61,76],"first":[62],"include":[63],"an":[64],"up-to-date":[65],"review":[66],"on":[67,150],"including":[72],"state-of-the-art":[74],"techniques.":[75,164],"then":[77],"propose":[78],"new":[80],"architecture":[81,93,154],"for":[88,138],"proposed":[92,137,163],"consists":[94],"five":[96],"essential":[97],"modules:":[98],"collection":[100],"module,":[101,105,110,114],"aggregation":[104],"feature":[108,119,142],"extraction":[109,120,143],"fusion":[111],"decision":[113],"application":[116],"module.":[117],"Novel":[118],"techniques":[121],"called":[122],"divide-and-conquer":[124,131],"principal":[125],"component":[126],"analysis":[127,134],"(Div-ConPCA)":[128],"linear":[132],"discriminant":[133],"(Div-ConLDA)":[135],"are":[136,155],"module":[144],"architecture.":[147],"experiments":[149],"multicore":[152],"machine":[153],"performed":[156],"validate":[158],"performance":[160]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}