{"id":"https://openalex.org/W2805121932","doi":"https://doi.org/10.1016/j.neucom.2018.05.104","title":"Boosting image sentiment analysis with visual attention","display_name":"Boosting image sentiment analysis with visual attention","publication_year":2018,"publication_date":"2018-06-07","ids":{"openalex":"https://openalex.org/W2805121932","doi":"https://doi.org/10.1016/j.neucom.2018.05.104","mag":"2805121932"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2018.05.104","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2018.05.104","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","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/A5102080803","display_name":"Kaikai Song","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaikai Song","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088760097","display_name":"Ting Yao","orcid":"https://orcid.org/0000-0001-7587-101X"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Yao","raw_affiliation_strings":["Microsoft Research Asia, Beijing 100080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing 100080, China","institution_ids":["https://openalex.org/I4210113369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007719477","display_name":"Qiang Ling","orcid":"https://orcid.org/0000-0001-5688-4130"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Ling","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui 230027, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui 230027, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017597537","display_name":"Tao Mei","orcid":"https://orcid.org/0000-0003-2497-7732"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Mei","raw_affiliation_strings":["JD AI Research, Beijing 101111, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JD AI Research, Beijing 101111, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007719477"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":6.9709,"has_fulltext":false,"cited_by_count":168,"citation_normalized_percentile":{"value":0.97711401,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"312","issue":null,"first_page":"218","last_page":"228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9997000098228455,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9891999959945679,"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":0.8393504619598389},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.743811309337616},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7004243731498718},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.678783118724823},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.6135063767433167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919409394264221},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.46959105134010315},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.4569627642631531},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4366365969181061},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40100568532943726},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3986213207244873},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.12757116556167603},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08308285474777222}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8393504619598389},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.743811309337616},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7004243731498718},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.678783118724823},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.6135063767433167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919409394264221},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.46959105134010315},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.4569627642631531},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4366365969181061},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40100568532943726},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3986213207244873},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.12757116556167603},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08308285474777222},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1016/j.neucom.2018.05.104","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2018.05.104","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G868031185","display_name":null,"funder_award_id":"2016YFC0201003","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W1133916940","https://openalex.org/W1483799732","https://openalex.org/W1930223417","https://openalex.org/W1994852517","https://openalex.org/W1996326832","https://openalex.org/W2003856922","https://openalex.org/W2023254499","https://openalex.org/W2046682605","https://openalex.org/W2047281828","https://openalex.org/W2048783874","https://openalex.org/W2049296440","https://openalex.org/W2057137426","https://openalex.org/W2074356411","https://openalex.org/W2085940040","https://openalex.org/W2097117768","https://openalex.org/W2108598243","https://openalex.org/W2110700950","https://openalex.org/W2115595010","https://openalex.org/W2134539427","https://openalex.org/W2141399712","https://openalex.org/W2153049579","https://openalex.org/W2163605009","https://openalex.org/W2166015963","https://openalex.org/W2183871738","https://openalex.org/W2188687388","https://openalex.org/W2188772783","https://openalex.org/W2194775991","https://openalex.org/W2253891449","https://openalex.org/W2397331935","https://openalex.org/W2407591883","https://openalex.org/W2460852148","https://openalex.org/W2463565445","https://openalex.org/W2515036155","https://openalex.org/W2525579820","https://openalex.org/W2525668096","https://openalex.org/W2528605210","https://openalex.org/W2531468424","https://openalex.org/W2552972371","https://openalex.org/W2559655401","https://openalex.org/W2596585349","https://openalex.org/W2604272474","https://openalex.org/W2604737966","https://openalex.org/W2735673432","https://openalex.org/W2739107216","https://openalex.org/W2740046088","https://openalex.org/W2741561025","https://openalex.org/W2741630455","https://openalex.org/W2765354427","https://openalex.org/W2766860994","https://openalex.org/W2790763247","https://openalex.org/W2793857798","https://openalex.org/W2949370174","https://openalex.org/W2950094539","https://openalex.org/W2950178297","https://openalex.org/W2951527505","https://openalex.org/W2953022248","https://openalex.org/W2963954913","https://openalex.org/W3124951096","https://openalex.org/W4246999471","https://openalex.org/W4249502209","https://openalex.org/W4249914127","https://openalex.org/W4256361765","https://openalex.org/W4301145597","https://openalex.org/W4365799978","https://openalex.org/W4376547836","https://openalex.org/W6600291067","https://openalex.org/W6601449391","https://openalex.org/W6601630192","https://openalex.org/W6604298747","https://openalex.org/W6629012840","https://openalex.org/W6630875275","https://openalex.org/W6649070989","https://openalex.org/W6650954310","https://openalex.org/W6662109683","https://openalex.org/W6662642538","https://openalex.org/W6669146677","https://openalex.org/W6671928563","https://openalex.org/W6674914833","https://openalex.org/W6676610738","https://openalex.org/W6677032036","https://openalex.org/W6680834391","https://openalex.org/W6682137061","https://openalex.org/W6682363385","https://openalex.org/W6684191040","https://openalex.org/W6685337303","https://openalex.org/W6686906722","https://openalex.org/W6687483927","https://openalex.org/W6691937106","https://openalex.org/W6697567838","https://openalex.org/W6698228248","https://openalex.org/W6712160183","https://openalex.org/W6719057275","https://openalex.org/W6726187715","https://openalex.org/W6727192613","https://openalex.org/W6728334670","https://openalex.org/W6729343724","https://openalex.org/W6736239804","https://openalex.org/W6742024309","https://openalex.org/W6742405099","https://openalex.org/W6742563328","https://openalex.org/W6745439582","https://openalex.org/W6745863570","https://openalex.org/W6749205040","https://openalex.org/W6749610772","https://openalex.org/W6764076272"],"related_works":["https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1518215897","https://openalex.org/W1566995892","https://openalex.org/W2583763619"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":37},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":22},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
