{"id":"https://openalex.org/W4321221922","doi":"https://doi.org/10.1145/3584861","title":"Image\u2013Text Multimodal Sentiment Analysis Framework of Assamese News Articles Using Late Fusion","display_name":"Image\u2013Text Multimodal Sentiment Analysis Framework of Assamese News Articles Using Late Fusion","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4321221922","doi":"https://doi.org/10.1145/3584861"},"language":"en","primary_location":{"id":"doi:10.1145/3584861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584861","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5038994721","display_name":"Ringki Das","orcid":"https://orcid.org/0000-0003-0483-7169"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ringki Das","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Silchar, India"],"raw_orcid":"https://orcid.org/0000-0003-0483-7169","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029923937","display_name":"Thoudam Doren Singh","orcid":"https://orcid.org/0000-0001-9906-9136"},"institutions":[{"id":"https://openalex.org/I151903974","display_name":"National Institute Of Technology Silchar","ror":"https://ror.org/001ws2a36","country_code":"IN","type":"education","lineage":["https://openalex.org/I151903974"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Thoudam Doren Singh","raw_affiliation_strings":["Department of Computer Science and Engineering, National Institute of Technology Silchar, India"],"raw_orcid":"https://orcid.org/0000-0001-9906-9136","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, National Institute of Technology Silchar, India","institution_ids":["https://openalex.org/I151903974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151903974"],"apc_list":null,"apc_paid":null,"fwci":6.345,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97122499,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"22","issue":"6","first_page":"1","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9847999811172485,"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"}},{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9702000021934509,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/assamese","display_name":"Assamese","score":0.7907224893569946},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7659076452255249},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.6762850880622864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6161947250366211},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5026252269744873},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4719088673591614},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4579848349094391},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.44999587535858154},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.426835298538208},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41568827629089355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32283779978752136},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2906476855278015},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.17362111806869507},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08594179153442383}],"concepts":[{"id":"https://openalex.org/C2777834912","wikidata":"https://www.wikidata.org/wiki/Q29401","display_name":"Assamese","level":2,"score":0.7907224893569946},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659076452255249},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.6762850880622864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6161947250366211},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5026252269744873},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4719088673591614},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4579848349094391},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.44999587535858154},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.426835298538208},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41568827629089355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32283779978752136},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2906476855278015},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.17362111806869507},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08594179153442383},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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:10.1145/3584861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3584861","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1875160599","https://openalex.org/W1895577753","https://openalex.org/W1965343349","https://openalex.org/W2047281828","https://openalex.org/W2063027075","https://openalex.org/W2075456404","https://openalex.org/W2112422413","https://openalex.org/W2114524997","https://openalex.org/W2163455955","https://openalex.org/W2166706824","https://openalex.org/W2187168313","https://openalex.org/W2599140595","https://openalex.org/W2743243853","https://openalex.org/W2805121932","https://openalex.org/W2893531323","https://openalex.org/W2903907401","https://openalex.org/W2910191085","https://openalex.org/W2913550731","https://openalex.org/W2964167669","https://openalex.org/W2969026449","https://openalex.org/W2969078176","https://openalex.org/W2998884477","https://openalex.org/W3034456293","https://openalex.org/W3140428646","https://openalex.org/W3154088605","https://openalex.org/W3156195705","https://openalex.org/W3168011735","https://openalex.org/W4210827551","https://openalex.org/W4213207626","https://openalex.org/W4280604215"],"related_works":["https://openalex.org/W70126818","https://openalex.org/W2595800753","https://openalex.org/W3136670730","https://openalex.org/W4294250292","https://openalex.org/W2891067899","https://openalex.org/W3111362937","https://openalex.org/W4232434157","https://openalex.org/W2047043392","https://openalex.org/W1993273011","https://openalex.org/W4285407516"],"abstract_inverted_index":{"Before":[0],"the":[1,4,17,20,37,53,57,70,73,84,99,135,172,187,205,210,218,225],"arrival":[2],"of":[3,19,59,69,75,90,102,112,134,228],"web":[5],"as":[6,145],"a":[7,66,92,199],"corpus,":[8],"people":[9],"detected":[10],"positive":[11],"and":[12,47,115,118,131,147,177],"negative":[13],"news":[14,108,113],"based":[15,43],"on":[16,44,83,128,217],"understanding":[18,68],"textual":[21,146,176],"content":[22],"from":[23,32],"physical":[24],"newspaper":[25],"rather":[26],"than":[27,234],"an":[28,106,124,158],"automatic":[29],"identification":[30],"approach":[31,41,167],"readily":[33],"available":[34],"e-newspapers.":[35],"Thus,":[36],"earlier":[38],"sentiment":[39,87,182,189,212],"analysis":[40,88,190],"is":[42,50,155,168],"unimodal":[45,143,235],"data,":[46],"less":[48,78],"effort":[49],"paid":[51],"to":[52,64,122,139,170,203],"multimodal":[54,60,86,166,188,229],"data.":[55],"However,":[56],"presence":[58],"information":[61],"helps":[62],"us":[63],"get":[65],"clearer":[67],"sentiment.":[71],"To":[72],"best":[74],"our":[76],"knowledge,":[77],"work":[79],"has":[80],"been":[81],"introduced":[82],"image\u2013text":[85,165],"framework":[89],"Assamese,":[91],"low-resource":[93],"Indian":[94],"language":[95],"mostly":[96,137],"spoken":[97],"in":[98],"northeast":[100],"part":[101],"India.":[103],"We":[104],"built":[105,221],"Assamese":[107,219],"articles":[109],"dataset":[110,220],"consisting":[111],"text":[114],"associated":[116],"images":[117,136],"one":[119],"image":[120,160],"caption":[121,161],"conduct":[123],"experimental":[125],"study.":[126],"Focusing":[127],"important":[129],"words":[130],"discriminative":[132],"regions":[133],"related":[138],"sentiment,":[140],"two":[141],"individual":[142],"such":[144],"visual":[148,153,178],"models":[149],"are":[150],"proposed.":[151],"The":[152],"model":[154],"developed":[156],"using":[157],"encoder-decoder\u2013based":[159],"generation":[162],"system.":[163],"An":[164],"proposed":[169],"explore":[171],"internal":[173],"correlation":[174],"between":[175],"features":[179,230],"for":[180,209],"joint":[181],"classification.":[183],"Finally,":[184],"we":[185],"propose":[186],"framework,":[191],"i.e.,":[192],"Textual":[193],"Visual":[194],"Multimodal":[195],"Fusion,":[196],"by":[197],"employing":[198],"late":[200],"fusion":[201],"scheme":[202],"merge":[204],"three":[206],"different":[207],"modalities":[208],"final":[211],"prediction.":[213],"Experimental":[214],"results":[215],"conducted":[216],"in-house":[222],"demonstrate":[223],"that":[224],"contextual":[226],"integration":[227],"delivers":[231],"better":[232],"performance":[233],"features.":[236]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}