{"id":"https://openalex.org/W2527200148","doi":"https://doi.org/10.1145/2964284.2964288","title":"Robust Visual-Textual Sentiment Analysis","display_name":"Robust Visual-Textual Sentiment Analysis","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2527200148","doi":"https://doi.org/10.1145/2964284.2964288","mag":"2527200148"},"language":"en","primary_location":{"id":"doi:10.1145/2964284.2964288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2964288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035950313","display_name":"Quanzeng You","orcid":"https://orcid.org/0000-0003-3608-0607"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanzeng You","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187717","display_name":"Liangliang Cao","orcid":"https://orcid.org/0000-0003-0900-1512"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liangliang Cao","raw_affiliation_strings":["Yahoo Labs, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Labs, New York, NY, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109787260","display_name":"Hailin Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"company","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hailin Jin","raw_affiliation_strings":["Adobe, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Adobe, San Jose, CA, USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055469774","display_name":"Jiebo Luo","orcid":"https://orcid.org/0000-0002-4516-9729"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiebo Luo","raw_affiliation_strings":["University of Rochester, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rochester, Rochester, NY, USA","institution_ids":["https://openalex.org/I5388228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":106,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1008","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9995999932289124,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9902999997138977,"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":0.8933600187301636},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7403732538223267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6709054708480835},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.6015942096710205},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5830376148223877},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5472554564476013},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5241591930389404},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.49001041054725647},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.485790491104126},{"id":"https://openalex.org/keywords/dependency-grammar","display_name":"Dependency grammar","score":0.4227336347103119},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4108327031135559}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8933600187301636},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7403732538223267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6709054708480835},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.6015942096710205},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5830376148223877},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5472554564476013},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5241591930389404},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.49001041054725647},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.485790491104126},{"id":"https://openalex.org/C164883195","wikidata":"https://www.wikidata.org/wiki/Q674834","display_name":"Dependency grammar","level":3,"score":0.4227336347103119},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4108327031135559},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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":1,"locations":[{"id":"doi:10.1145/2964284.2964288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2964288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W154472438","https://openalex.org/W1423339008","https://openalex.org/W1514535095","https://openalex.org/W1527575280","https://openalex.org/W1686810756","https://openalex.org/W1811254738","https://openalex.org/W1815076433","https://openalex.org/W1879966306","https://openalex.org/W1895577753","https://openalex.org/W1895989618","https://openalex.org/W1905882502","https://openalex.org/W1916445035","https://openalex.org/W1931639407","https://openalex.org/W1994529670","https://openalex.org/W2005708641","https://openalex.org/W2009678853","https://openalex.org/W2046682605","https://openalex.org/W2048783874","https://openalex.org/W2064675550","https://openalex.org/W2065895060","https://openalex.org/W2075456404","https://openalex.org/W2097117768","https://openalex.org/W2099813784","https://openalex.org/W2110700950","https://openalex.org/W2126792281","https://openalex.org/W2131744502","https://openalex.org/W2136064009","https://openalex.org/W2143612262","https://openalex.org/W2147568880","https://openalex.org/W2149557440","https://openalex.org/W2153579005","https://openalex.org/W2163605009","https://openalex.org/W2211582303","https://openalex.org/W2250539671","https://openalex.org/W2252143850","https://openalex.org/W2253891449","https://openalex.org/W2293236424","https://openalex.org/W2406043435","https://openalex.org/W2560674852","https://openalex.org/W2597851033","https://openalex.org/W2600077159","https://openalex.org/W2607074821","https://openalex.org/W2618530766","https://openalex.org/W2949547296","https://openalex.org/W2950133940","https://openalex.org/W2962706528","https://openalex.org/W2963355447","https://openalex.org/W2964308564","https://openalex.org/W2998641113","https://openalex.org/W4205184193","https://openalex.org/W4206733017","https://openalex.org/W4285719527","https://openalex.org/W4299828299","https://openalex.org/W6639301165","https://openalex.org/W6678470764"],"related_works":["https://openalex.org/W2251084681","https://openalex.org/W287510790","https://openalex.org/W2968543375","https://openalex.org/W2571817549","https://openalex.org/W1541975828","https://openalex.org/W2250525544","https://openalex.org/W2159336305","https://openalex.org/W2987141700","https://openalex.org/W2005486303","https://openalex.org/W2953770453"],"abstract_inverted_index":{"Sentiment":[0],"analysis":[1],"is":[2],"crucial":[3],"for":[4,48,90],"extracting":[5],"social":[6,9,17],"signals":[7],"from":[8,53],"media":[10],"content.":[11],"Due":[12],"to":[13,161],"huge":[14],"variation":[15],"in":[16,66,140,159],"media,":[18],"the":[19,136,153,156,167,171,174],"performance":[20],"of":[21,155,173],"sentiment":[22,50,141,177],"classifiers":[23],"using":[24],"single":[25],"modality":[26],"(visual":[27],"or":[28],"textual)":[29],"still":[30],"lags":[31],"behind":[32],"satisfaction.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,56],"propose":[38],"a":[39,67,74,97],"new":[40],"framework":[41],"that":[42,131],"integrates":[43],"textual":[44,60,85],"and":[45,59,87,115,151],"visual":[46,58],"information":[47,61],"robust":[49,98],"analysis.":[51,92,142],"Different":[52],"previous":[54],"work,":[55],"believe":[57],"should":[62],"be":[63],"treated":[64],"jointly":[65],"structural":[68],"fashion.":[69],"Our":[70],"system":[71,95],"first":[72],"builds":[73],"semantic":[75,101,119],"tree":[76],"structure":[77],"based":[78],"on":[79,125,165],"sentence":[80],"parsing,":[81],"aimed":[82],"at":[83],"aligning":[84],"words":[86],"image":[88],"regions":[89],"accurate":[91],"Next,":[93],"our":[94,132],"learns":[96],"joint":[99,138,175],"visual-textual":[100,176],"representation":[102],"by":[103],"incorporating":[104],"1)":[105],"an":[106,117],"attention":[107,157,168],"mechanism":[108,158,169],"with":[109],"LSTM":[110,148],"(long":[111],"short":[112],"term":[113],"memory)":[114],"2)":[116],"auxiliary":[118],"learning":[120,172],"task.":[121],"Extensive":[122],"experimental":[123],"results":[124],"several":[126],"known":[127],"data":[128],"sets":[129],"show":[130],"method":[133],"outperforms":[134],"existing":[135],"state-of-the-art":[137],"models":[139],"We":[143],"also":[144],"investigate":[145],"different":[146],"tree-structured":[147],"(T-LSTM)":[149],"variants":[150],"analyze":[152],"effect":[154],"order":[160],"provide":[162],"deeper":[163],"insight":[164],"how":[166],"helps":[170],"classifier.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":19},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":14}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
