{"id":"https://openalex.org/W2921051284","doi":"https://doi.org/10.1186/s13640-019-0433-8","title":"Region-based convolutional neural network using group sparse regularization for image sentiment classification","display_name":"Region-based convolutional neural network using group sparse regularization for image sentiment classification","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2921051284","doi":"https://doi.org/10.1186/s13640-019-0433-8","mag":"2921051284"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-019-0433-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0433-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0433-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0433-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100604452","display_name":"Haitao Xiong","orcid":"https://orcid.org/0000-0002-3500-1279"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haitao Xiong","raw_affiliation_strings":["Beijing Key Laboratory of Big Data Technology for Food Safety, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Big Data Technology for Food Safety, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","institution_ids":["https://openalex.org/I179026463"]},{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010128384","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-5797-8179"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062389457","display_name":"Shaoyi Song","orcid":"https://orcid.org/0000-0002-3734-622X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoyi Song","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","institution_ids":["https://openalex.org/I179026463"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103246852","display_name":"Yuanyuan Cai","orcid":"https://orcid.org/0000-0002-1310-033X"},"institutions":[{"id":"https://openalex.org/I179026463","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I179026463"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanyuan Cai","raw_affiliation_strings":["School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Engineering, Beijing Technology and Business University, No,11 Fuchengfu Road, Beijing, 100048, People\u2019s Republic of China","institution_ids":["https://openalex.org/I179026463"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100604452"],"corresponding_institution_ids":["https://openalex.org/I179026463"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":1.5897,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.87490805,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9955999851226807,"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":0.9955999851226807,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social 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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7708396911621094},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7566345930099487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7207263708114624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6567032337188721},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.582760751247406},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5765794515609741},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4757899045944214},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.4495941698551178},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.44290825724601746},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4115898013114929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34185925126075745}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7708396911621094},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7566345930099487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7207263708114624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6567032337188721},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.582760751247406},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5765794515609741},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4757899045944214},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4495941698551178},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.44290825724601746},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4115898013114929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34185925126075745},{"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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-019-0433-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0433-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0433-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:95ac3acb6e45485cad56f897f48f4a05","is_oa":true,"landing_page_url":"https://doaj.org/article/95ac3acb6e45485cad56f897f48f4a05","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":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-9 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-019-0433-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-019-0433-8","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-019-0433-8","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5575670249","display_name":null,"funder_award_id":"201004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6145022875","display_name":null,"funder_award_id":"71201004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6791799061","display_name":null,"funder_award_id":"201804","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G7810175455","display_name":null,"funder_award_id":"201804","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320321125","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56"},{"id":"https://openalex.org/F4320321470","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59"},{"id":"https://openalex.org/F4320323066","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84"},{"id":"https://openalex.org/F4320323378","display_name":"Beijing Technology and Business University","ror":"https://ror.org/013e0zm98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921051284.pdf","grobid_xml":"https://content.openalex.org/works/W2921051284.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W7746136","https://openalex.org/W1686810756","https://openalex.org/W2003856922","https://openalex.org/W2088049833","https://openalex.org/W2092872567","https://openalex.org/W2114315281","https://openalex.org/W2118526556","https://openalex.org/W2119667497","https://openalex.org/W2121001699","https://openalex.org/W2162745601","https://openalex.org/W2251198138","https://openalex.org/W2253891449","https://openalex.org/W2460144244","https://openalex.org/W2552557968","https://openalex.org/W2552972371","https://openalex.org/W2599743206","https://openalex.org/W2766671363","https://openalex.org/W2786411768","https://openalex.org/W2791358024","https://openalex.org/W2793857798","https://openalex.org/W2794132364","https://openalex.org/W2805121932","https://openalex.org/W2895906665","https://openalex.org/W2901972078","https://openalex.org/W2904531787","https://openalex.org/W2963201025","https://openalex.org/W6603094881","https://openalex.org/W6636770771"],"related_works":["https://openalex.org/W3089396779","https://openalex.org/W2548633793","https://openalex.org/W2952813363","https://openalex.org/W4360783045","https://openalex.org/W2963346891","https://openalex.org/W3176438653","https://openalex.org/W2770149305","https://openalex.org/W3167930666","https://openalex.org/W3014952856","https://openalex.org/W2964843961"],"abstract_inverted_index":{"As":[0],"an":[1],"information":[2],"carrier":[3],"with":[4],"rich":[5],"semantics,":[6],"images":[7,16,35],"contain":[8],"more":[9],"sentiment":[10,49,68,104,112,131,147,155,173],"than":[11],"texts":[12],"and":[13,26,38,72,80,126,138,145],"audios.":[14],"So,":[15,44],"are":[17,36,149],"increasingly":[18],"used":[19],"by":[20,88,133],"people":[21],"to":[22,53,121,151],"express":[23],"their":[24],"opinions":[25],"sentiments":[27,32],"in":[28,171],"social":[29],"network.":[30],"The":[31,107],"of":[33,47,156],"the":[34,45,48,58,60,85,110,130,135,142,146,153,157,168],"overall":[37,154],"should":[39],"come":[40],"from":[41],"different":[42],"regions.":[43],"recognition":[46],"regions":[50,132],"will":[51],"help":[52],"concentrate":[54],"on":[55],"important":[56],"factors":[57],"affect":[59],"sentiments.":[61],"Meanwhile,":[62],"deep":[63],"learning":[64],"method":[65,108],"for":[66,75,102],"image":[67,103,144,172],"classification":[69],"needs":[70],"simple":[71],"efficient":[73],"approach":[74],"simultaneously":[76],"carrying":[77],"out":[78],"pruning":[79],"feature":[81],"selection":[82],"whilst":[83],"optimizing":[84],"weights.":[86],"Motivated":[87],"these":[89],"observations,":[90],"we":[91],"design":[92],"a":[93],"region-based":[94],"convolutional":[95],"neural":[96,124],"network":[97],"using":[98,117],"group":[99,118],"sparse":[100,119],"regularization":[101,120],"classification:":[105],"R-CNNGSR.":[106],"obtains":[109],"initial":[111],"prediction":[113],"model":[114],"through":[115],"CNN":[116],"get":[122],"compact":[123],"network,":[125],"then":[127],"automatically":[128],"detect":[129],"combining":[134],"underlying":[136],"features":[137],"sentimental":[139],"features.":[140],"Finally,":[141],"whole":[143],"region":[148],"fused":[150],"predict":[152],"images.":[158],"Experiment":[159],"results":[160],"demonstrate":[161],"that":[162],"our":[163],"proposed":[164],"R-CNNGSR":[165],"significantly":[166],"outperforms":[167],"state-of-the-art":[169],"methods":[170],"classification.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
