{"id":"https://openalex.org/W2767245334","doi":"https://doi.org/10.1109/taffc.2017.2771234","title":"Distantly Supervised Lifelong Learning for Large-Scale Social Media Sentiment Analysis","display_name":"Distantly Supervised Lifelong Learning for Large-Scale Social Media Sentiment Analysis","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2767245334","doi":"https://doi.org/10.1109/taffc.2017.2771234","mag":"2767245334"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2017.2771234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2017.2771234","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Affective Computing","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":null,"display_name":"Rui Xia","orcid":"https://orcid.org/0000-0002-6818-5211"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Xia","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-6818-5211","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101706913","display_name":"Jie Jiang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Jiang","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101480114","display_name":"Huihui He","orcid":"https://orcid.org/0000-0002-4236-8634"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui He","raw_affiliation_strings":["School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":5.6121,"has_fulltext":false,"cited_by_count":65,"citation_normalized_percentile":{"value":0.96686739,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"8","issue":"4","first_page":"480","last_page":"491"},"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/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9987999796867371,"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/sentiment-analysis","display_name":"Sentiment analysis","score":0.8535956144332886},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.8192154169082642},{"id":"https://openalex.org/keywords/lifelong-learning","display_name":"Lifelong learning","score":0.7466543316841125},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7118569612503052},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.661980926990509},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6394917964935303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5898206233978271},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.517846405506134},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4702291190624237},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4632502794265747},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4342096447944641},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4059886336326599},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38770392537117004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3564486503601074},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.21898287534713745},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12991401553153992},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11779677867889404}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8535956144332886},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.8192154169082642},{"id":"https://openalex.org/C108771440","wikidata":"https://www.wikidata.org/wiki/Q368475","display_name":"Lifelong learning","level":2,"score":0.7466543316841125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7118569612503052},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.661980926990509},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6394917964935303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5898206233978271},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.517846405506134},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4702291190624237},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4632502794265747},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4342096447944641},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4059886336326599},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38770392537117004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3564486503601074},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.21898287534713745},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12991401553153992},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11779677867889404},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2017.2771234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2017.2771234","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G3530307534","display_name":null,"funder_award_id":"61672288","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W40549020","https://openalex.org/W1512387364","https://openalex.org/W1589554437","https://openalex.org/W1743243001","https://openalex.org/W1839863673","https://openalex.org/W1994136430","https://openalex.org/W2028140375","https://openalex.org/W2047449974","https://openalex.org/W2049434052","https://openalex.org/W2055103902","https://openalex.org/W2062179223","https://openalex.org/W2077587655","https://openalex.org/W2095181643","https://openalex.org/W2107474859","https://openalex.org/W2113125055","https://openalex.org/W2120501001","https://openalex.org/W2122922389","https://openalex.org/W2129011250","https://openalex.org/W2132211083","https://openalex.org/W2133013156","https://openalex.org/W2143455647","https://openalex.org/W2157765050","https://openalex.org/W2165698076","https://openalex.org/W2172112754","https://openalex.org/W2250879510","https://openalex.org/W2267835966","https://openalex.org/W2295853830","https://openalex.org/W2296071000","https://openalex.org/W2306941105","https://openalex.org/W2395693197","https://openalex.org/W2513699236","https://openalex.org/W2514299353","https://openalex.org/W2565989828","https://openalex.org/W2606776062","https://openalex.org/W2914746235","https://openalex.org/W2963209029","https://openalex.org/W3126976873","https://openalex.org/W4210966338","https://openalex.org/W4233787372","https://openalex.org/W4239943352","https://openalex.org/W6601618085","https://openalex.org/W6610080458","https://openalex.org/W6630579473","https://openalex.org/W6635364467","https://openalex.org/W6637805623","https://openalex.org/W6676723433","https://openalex.org/W6677850982","https://openalex.org/W6679564466","https://openalex.org/W6683147150","https://openalex.org/W6685567366","https://openalex.org/W6693772185","https://openalex.org/W6697121895","https://openalex.org/W6697166790","https://openalex.org/W6712652615"],"related_works":["https://openalex.org/W2275433313","https://openalex.org/W2053241453","https://openalex.org/W2017590198","https://openalex.org/W2978974359","https://openalex.org/W2036556872","https://openalex.org/W2728430307","https://openalex.org/W2153980712","https://openalex.org/W2107786128","https://openalex.org/W2087532526","https://openalex.org/W1540611520"],"abstract_inverted_index":{"Although":[0],"sentiment":[1,12,55,67,80,139,149,178,203,244],"analysis":[2,13],"on":[3,92,156,182,193],"traditional":[4,259],"online":[5],"texts":[6,17,34,72,110,217],"has":[7,73],"been":[8,74],"studied":[9],"in":[10,69,77,124,151,221,240,266,269],"depth,":[11],"for":[14,57,135],"social":[15,26,78,137,152,187,222,242],"media":[16,27,79,138,188,243],"is":[18,147,180,206],"still":[19],"a":[20,30,36,54,129],"challenging":[21],"research":[22],"direction.":[23],"In":[24,246],"the":[25,70,83,106,109,115,161,169,212,228,234,258],"that":[28,62,200,227],"contains":[29],"huge":[31],"amount":[32],"of":[33,39,96,144,214,261,271],"and":[35,98,114,167,191,208,275],"large":[37],"range":[38],"topics,":[40],"it":[41],"would":[42],"be":[43],"very":[44],"difficult":[45],"to":[46,52,103,172,210],"manually":[47],"collect":[48],"enough":[49],"labeled":[50],"data":[51,233,265],"train":[53],"classifier":[56,179],"different":[58],"domains.":[59],"Distant":[60],"supervision":[61,86],"considers":[63],"emoticons":[64],"as":[65],"natural":[66],"labels":[68],"microblog":[71],"widely":[75],"used":[76],"analysis.":[81,140,245],"However,":[82],"previous":[84],"distant":[85],"works":[87],"were":[88,100],"normally":[89],"trained":[90,181],"based":[91],"an":[93],"isolate":[94],"set":[95],"data,":[97],"they":[99],"not":[101,238],"capable":[102],"deal":[104],"with":[105,218],"scenario":[107],"where":[108],"are":[111,117],"continuously":[112,215],"increasing":[113],"topics":[116,220],"constantly":[118],"changing.":[119],"To":[120],"address":[121],"such":[122],"challenges,":[123],"this":[125],"work":[126],"we":[127],"propose":[128],"distantly":[130,185],"supervised":[131,186],"lifelong":[132,177,202],"learning":[133,150,166,204,251],"framework":[134],"large-scale":[136,184,241],"The":[141,176,197],"key":[142],"characteristic":[143],"our":[145,201,255],"approach":[146,205,256],"continuous":[148,250],"media.":[153,223],"It":[154],"learns":[155],"past":[157,165,170,253],"tasks":[158],"sequentially,":[159],"retains":[160],"knowledge":[162,171],"obtained":[163],"from":[164,252],"uses":[168],"help":[173],"future":[174],"learning.":[175],"two":[183],"datasets":[189],"respectively,":[190],"evaluated":[192],"nine":[194],"benchmark":[195],"datasets.":[196],"results":[198],"prove":[199,226],"feasible":[207],"effective":[209],"tackle":[211],"challenges":[213],"updated":[216],"dynamic":[219],"We":[224],"also":[225],"belief":[229],"\u201cthe":[230],"more":[231],"training":[232,264],"better":[235],"performance\u201d":[236],"does":[237],"hold":[239],"contrast,":[247],"by":[248],"conducting":[249],"tasks,":[254],"beats":[257],"way":[260],"using":[262],"all":[263],"one":[267],"task,":[268],"terms":[270],"both":[272],"classification":[273],"performance":[274],"computational":[276],"efficiency.":[277]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
