{"id":"https://openalex.org/W2947851192","doi":"https://doi.org/10.1109/access.2019.2920075","title":"Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges","display_name":"Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2947851192","doi":"https://doi.org/10.1109/access.2019.2920075","mag":"2947851192"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2920075","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920075","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08726353.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":null,"license_id":null,"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/ielx7/6287639/8600701/08726353.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100770462","display_name":"Jie Zhou","orcid":"https://orcid.org/0000-0002-2589-0164"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000409439","display_name":"Jimmy Xiangji Huang","orcid":"https://orcid.org/0000-0003-1292-1491"},"institutions":[{"id":"https://openalex.org/I192455969","display_name":"York University","ror":"https://ror.org/05fq50484","country_code":"CA","type":"education","lineage":["https://openalex.org/I192455969"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jimmy Xiangji Huang","raw_affiliation_strings":["Information Retrieval and Knowledge Management Research Laboratory, York University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Information Retrieval and Knowledge Management Research Laboratory, York University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I192455969"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362863","display_name":"Qin Chen","orcid":"https://orcid.org/0000-0002-5602-1877"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Chen","raw_affiliation_strings":["School of Data Science, Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018749138","display_name":"Qinmin Hu","orcid":"https://orcid.org/0000-0003-0561-1284"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Qinmin Vivian Hu","raw_affiliation_strings":["School of Computer Science, Ryerson University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Ryerson University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100447771","display_name":"Tingting Wang","orcid":"https://orcid.org/0009-0008-8433-8063"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Wang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010540039","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-4723-5486"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100770462"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":11.2105,"has_fulltext":true,"cited_by_count":153,"citation_normalized_percentile":{"value":0.9867078,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"78454","last_page":"78483"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9955000281333923,"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":0.9919000267982483,"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/deep-learning","display_name":"Deep learning","score":0.8471978902816772},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8052018880844116},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6657934784889221},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.6346917152404785},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.6243875026702881},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5577985048294067},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5413733124732971},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5295295119285583},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48386871814727783},{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.44377368688583374},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15992671251296997}],"concepts":[{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.8471978902816772},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8052018880844116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6657934784889221},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.6346917152404785},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.6243875026702881},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5577985048294067},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5413733124732971},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5295295119285583},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48386871814727783},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.44377368688583374},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15992671251296997},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2920075","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920075","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08726353.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9fa2f050509740e2af79a216fef4a124","is_oa":true,"landing_page_url":"https://doaj.org/article/9fa2f050509740e2af79a216fef4a124","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":"IEEE Access, Vol 7, Pp 78454-78483 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2920075","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2920075","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08726353.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1304196372","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G2165548363","display_name":null,"funder_award_id":"Canada","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G3012830418","display_name":null,"funder_award_id":"18511103802","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"},{"id":"https://openalex.org/G4472667909","display_name":null,"funder_award_id":"CREATE","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G5784215521","display_name":null,"funder_award_id":"Chair","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"},{"id":"https://openalex.org/G7938816451","display_name":null,"funder_award_id":"17ZR1444900","funder_id":"https://openalex.org/F4320309612","funder_display_name":"Natural Science Foundation of Shanghai"},{"id":"https://openalex.org/G8284766523","display_name":null,"funder_award_id":"(NSERC)","funder_id":"https://openalex.org/F4320334593","funder_display_name":"Natural Sciences and Engineering Research Council of Canada"}],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"id":"https://openalex.org/F4320319918","display_name":"York University","ror":"https://ror.org/05fq50484"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"},{"id":"https://openalex.org/F4320322370","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947851192.pdf","grobid_xml":"https://content.openalex.org/works/W2947851192.grobid-xml"},"referenced_works_count":177,"referenced_works":["https://openalex.org/W71795751","https://openalex.org/W1423339008","https://openalex.org/W1522301498","https://openalex.org/W1538131130","https://openalex.org/W1576326591","https://openalex.org/W1614298861","https://openalex.org/W1689711448","https://openalex.org/W1748706058","https://openalex.org/W1810943226","https://openalex.org/W1832693441","https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W1970183398","https://openalex.org/W1983286042","https://openalex.org/W1994339024","https://openalex.org/W2035265584","https://openalex.org/W2064675550","https://openalex.org/W2081309545","https://openalex.org/W2103305545","https://openalex.org/W2106477703","https://openalex.org/W2113125055","https://openalex.org/W2116401198","https://openalex.org/W2120400822","https://openalex.org/W2128407051","https://openalex.org/W2129294185","https://openalex.org/W2129604374","https://openalex.org/W2131494463","https://openalex.org/W2133564696","https://openalex.org/W2144012961","https://openalex.org/W2154970197","https://openalex.org/W2157589241","https://openalex.org/W2159457224","https://openalex.org/W2163605009","https://openalex.org/W2165664073","https://openalex.org/W2165855670","https://openalex.org/W2166706824","https://openalex.org/W2194775991","https://openalex.org/W2250521169","https://openalex.org/W2250539671","https://openalex.org/W2250696588","https://openalex.org/W2251124635","https://openalex.org/W2251287417","https://openalex.org/W2251294039","https://openalex.org/W2251648804","https://openalex.org/W2251739304","https://openalex.org/W2251792193","https://openalex.org/W2251900677","https://openalex.org/W2251939518","https://openalex.org/W2252007242","https://openalex.org/W2252012216","https://openalex.org/W2252057809","https://openalex.org/W2253519362","https://openalex.org/W2293502436","https://openalex.org/W2296071000","https://openalex.org/W2338448737","https://openalex.org/W2427312199","https://openalex.org/W2465978385","https://openalex.org/W2469885001","https://openalex.org/W2470673105","https://openalex.org/W2514722822","https://openalex.org/W2529550020","https://openalex.org/W2551396370","https://openalex.org/W2560526477","https://openalex.org/W2562607067","https://openalex.org/W2575426405","https://openalex.org/W2605145284","https://openalex.org/W2740567223","https://openalex.org/W2741075451","https://openalex.org/W2756816896","https://openalex.org/W2757541972","https://openalex.org/W2767210791","https://openalex.org/W2767439512","https://openalex.org/W2787654308","https://openalex.org/W2788618579","https://openalex.org/W2788810909","https://openalex.org/W2789190634","https://openalex.org/W2799009183","https://openalex.org/W2799044502","https://openalex.org/W2803633004","https://openalex.org/W2804000041","https://openalex.org/W2808182015","https://openalex.org/W2814589985","https://openalex.org/W2842541653","https://openalex.org/W2875308690","https://openalex.org/W2889191048","https://openalex.org/W2891300059","https://openalex.org/W2891778157","https://openalex.org/W2896457183","https://openalex.org/W2898642169","https://openalex.org/W2903110172","https://openalex.org/W2911437461","https://openalex.org/W2911752708","https://openalex.org/W2916076862","https://openalex.org/W2923978210","https://openalex.org/W2949615363","https://openalex.org/W2949847915","https://openalex.org/W2951008357","https://openalex.org/W2952230511","https://openalex.org/W2952357537","https://openalex.org/W2952620744","https://openalex.org/W2962739339","https://openalex.org/W2962808042","https://openalex.org/W2962843214","https://openalex.org/W2963026768","https://openalex.org/W2963168371","https://openalex.org/W2963240575","https://openalex.org/W2963446712","https://openalex.org/W2963494756","https://openalex.org/W2963829073","https://openalex.org/W2963909901","https://openalex.org/W2964015378","https://openalex.org/W2964098749","https://openalex.org/W2964164368","https://openalex.org/W2964275331","https://openalex.org/W2964288660","https://openalex.org/W2964321699","https://openalex.org/W3122657203","https://openalex.org/W4205184193","https://openalex.org/W4211186029","https://openalex.org/W4254816979","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6602989467","https://openalex.org/W6628124331","https://openalex.org/W6631190155","https://openalex.org/W6632100814","https://openalex.org/W6632455782","https://openalex.org/W6636510571","https://openalex.org/W6638273328","https://openalex.org/W6638318767","https://openalex.org/W6640212811","https://openalex.org/W6675525543","https://openalex.org/W6676136386","https://openalex.org/W6676723433","https://openalex.org/W6679108089","https://openalex.org/W6679434410","https://openalex.org/W6679844565","https://openalex.org/W6682449736","https://openalex.org/W6682691769","https://openalex.org/W6683738474","https://openalex.org/W6684191040","https://openalex.org/W6691459498","https://openalex.org/W6691664163","https://openalex.org/W6691723933","https://openalex.org/W6697121895","https://openalex.org/W6720006811","https://openalex.org/W6725876726","https://openalex.org/W6726873649","https://openalex.org/W6727807531","https://openalex.org/W6728469146","https://openalex.org/W6729654139","https://openalex.org/W6731875336","https://openalex.org/W6732958910","https://openalex.org/W6736543080","https://openalex.org/W6739901393","https://openalex.org/W6747045664","https://openalex.org/W6747848841","https://openalex.org/W6748549366","https://openalex.org/W6748560189","https://openalex.org/W6750213622","https://openalex.org/W6750253784","https://openalex.org/W6750375507","https://openalex.org/W6751017956","https://openalex.org/W6751050153","https://openalex.org/W6751287528","https://openalex.org/W6752770541","https://openalex.org/W6752903856","https://openalex.org/W6753114942","https://openalex.org/W6754371387","https://openalex.org/W6754527452","https://openalex.org/W6754757669","https://openalex.org/W6755207826","https://openalex.org/W6755319922","https://openalex.org/W6757151408","https://openalex.org/W6759212163","https://openalex.org/W6760568010","https://openalex.org/W6764456104"],"related_works":["https://openalex.org/W2378767206","https://openalex.org/W1540871478","https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2376963063","https://openalex.org/W2066396794","https://openalex.org/W2366734808","https://openalex.org/W2391444248","https://openalex.org/W2390716080","https://openalex.org/W2355065378"],"abstract_inverted_index":{"This":[0],"survey":[1,73],"focuses":[2],"on":[3,133],"deep":[4,30,35,107,134,146],"learning-based":[5,36,108,135,147],"aspect-level":[6],"sentiment":[7,15],"classification":[8],"(ASC),":[9],"which":[10,67],"aims":[11,74],"to":[12,75,78,167],"decide":[13],"the":[14,22,26,69,81,86,89,104,113,155,189],"polarity":[16],"for":[17,165],"an":[18,100],"aspect":[19],"mentioned":[20],"within":[21],"document.":[23],"Along":[24],"with":[25,178],"success":[27],"of":[28,42,59,64,83,88,103,129,145,154,188],"applying":[29],"learning":[31],"in":[32,49,121,201],"many":[33],"applications,":[34],"ASC":[37,136,148,163],"has":[38,117],"attracted":[39],"a":[40,56,126,143,151],"lot":[41],"interest":[43],"from":[44],"both":[45],"academia":[46],"and":[47,62,92,149,169,194],"industry":[48],"recent":[50,130],"years.":[51],"However,":[52],"there":[53],"still":[54],"lack":[55],"systematic":[57],"taxonomy":[58,144],"existing":[60],"approaches":[61],"comparison":[63],"their":[65],"performance,":[66],"are":[68],"gaps":[70],"that":[71,116],"our":[72],"fill.":[76],"Furthermore,":[77],"quantitatively":[79],"evaluate":[80],"performance":[82],"various":[84,179],"approaches,":[85],"standardization":[87],"evaluation":[90,182],"methodology":[91],"shared":[93],"datasets":[94,164,177],"is":[95,110,137],"necessary.":[96],"In":[97,123],"this":[98,202],"paper,":[99],"in-depth":[101],"overview":[102],"current":[105],"state-of-the-art":[106,156],"methods":[109],"given,":[111],"showing":[112],"tremendous":[114],"progress":[115],"already":[118],"been":[119],"made":[120],"ASC.":[122],"particular,":[124],"first,":[125],"comprehensive":[127,152],"review":[128],"research":[131,199],"efforts":[132],"provided.":[138],"More":[139],"concretely,":[140],"we":[141,159,185],"design":[142],"provide":[150],"summary":[153],"methods.":[157],"Then,":[158],"collect":[160],"all":[161],"benchmark":[162],"researchers":[166],"study":[168],"conduct":[170],"extensive":[171],"experiments":[172],"over":[173],"five":[174],"public":[175],"standard":[176],"commonly":[180],"used":[181],"measures.":[183],"Finally,":[184],"discuss":[186],"some":[187],"most":[190],"challenging":[191],"open":[192],"problems":[193],"point":[195],"out":[196],"promising":[197],"future":[198],"directions":[200],"field.":[203]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
