{"id":"https://openalex.org/W2028870384","doi":"https://doi.org/10.1162/coli_r_00186","title":"<b>Sentiment Analysis and Opinion Mining</b> <b>Bing Liu</b> (University of Illinois at Chicago) Morgan &amp; Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, 5(1)), 2012, 167 pp; paperbound, ISBN 978-1-60845-884-4","display_name":"<b>Sentiment Analysis and Opinion Mining</b> <b>Bing Liu</b> (University of Illinois at Chicago) Morgan &amp; Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, 5(1)), 2012, 167 pp; paperbound, ISBN 978-1-60845-884-4","publication_year":2014,"publication_date":"2014-02-24","ids":{"openalex":"https://openalex.org/W2028870384","doi":"https://doi.org/10.1162/coli_r_00186","mag":"2028870384"},"language":"en","primary_location":{"id":"doi:10.1162/coli_r_00186","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_r_00186","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_r_00186","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"type":"book-review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_r_00186","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070511738","display_name":"Claire Cardie","orcid":"https://orcid.org/0000-0002-2061-6094"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I29236304","display_name":"Advisory Board Company (United States)","ror":"https://ror.org/02q248z41","country_code":"US","type":"company","lineage":["https://openalex.org/I29236304"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Claire Cardie","raw_affiliation_strings":["Claire Cardie is a Professor in the Computer Science and Information Science departments at Cornell University. She has served as an action editor for the Journal of Machine Learning Research (JMLR), an associate editor for the Journal of Artificial Intelligence Research (JAIR), and an editorial board member for Machine Learning and Computational Linguistics. She was Program Chair (with Pierre Isabelle) of the joint ACL/COLING conference in 2006","Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Claire Cardie is a Professor in the Computer Science and Information Science departments at Cornell University. She has served as an action editor for the Journal of Machine Learning Research (JMLR), an associate editor for the Journal of Artificial Intelligence Research (JAIR), and an editorial board member for Machine Learning and Computational Linguistics. She was Program Chair (with Pierre Isabelle) of the joint ACL/COLING conference in 2006","institution_ids":["https://openalex.org/I29236304","https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070511738"],"corresponding_institution_ids":["https://openalex.org/I205783295","https://openalex.org/I29236304"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"2","first_page":"511","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.7425000071525574,"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":0.7425000071525574,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.7106000185012817,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7510033249855042},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5972610712051392},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5850638747215271},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.5592665076255798},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4841776192188263},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.44319748878479004},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4160647690296173},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.386189341545105},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3317958116531372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2749359607696533},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.20309239625930786},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11586570739746094},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.10880348086357117}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7510033249855042},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5972610712051392},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5850638747215271},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.5592665076255798},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4841776192188263},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.44319748878479004},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4160647690296173},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.386189341545105},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3317958116531372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2749359607696533},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.20309239625930786},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11586570739746094},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.10880348086357117},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/coli_r_00186","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_r_00186","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_r_00186","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2ab4f7457fdb4657ae04426c70ea09e4","is_oa":false,"landing_page_url":"https://doaj.org/article/2ab4f7457fdb4657ae04426c70ea09e4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Linguistics, Vol 40, Iss 2 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/coli_r_00186","is_oa":true,"landing_page_url":"https://doi.org/10.1162/coli_r_00186","pdf_url":"https://www.mitpressjournals.org/doi/pdf/10.1162/COLI_r_00186","source":{"id":"https://openalex.org/S155526855","display_name":"Computational Linguistics","issn_l":"0891-2017","issn":["0891-2017","1530-9312"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Linguistics","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2028870384.pdf","grobid_xml":"https://content.openalex.org/works/W2028870384.grobid-xml"},"referenced_works_count":2,"referenced_works":["https://openalex.org/W2097726431","https://openalex.org/W4205184193"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2350593162","https://openalex.org/W2390350206","https://openalex.org/W1969477129","https://openalex.org/W2921208823","https://openalex.org/W2131808775","https://openalex.org/W2353483812","https://openalex.org/W2130038259","https://openalex.org/W2360756181","https://openalex.org/W2374093222"],"abstract_inverted_index":{"This":[0,463],"2012":[1],"book":[2,73,125,151,181,206,249,483,615,667,677,955],"is":[3,74,81,92,183,207,213,229,349,464,507,723,767,864,956],"written":[4,208,350],"as":[5,56,58,399,401,943,945,988],"a":[6,18,47,77,159,184,409,465,486,536,572,581,617,672,679,724,865,930,957,989],"comprehensive":[7],"introductory":[8],"and":[9,15,35,54,83,95,142,199,256,271,292,303,313,317,321,332,336,346,348,361,365,379,436,457,476,523,577,602,639,644,703,747,761,776,792,807,814,819,851,860,890,893,938,951,972],"survey":[10,329,412],"text":[11,28,105,381,515,552],"for":[12,26,307,315,323,367,422,479,491,961,977],"sentiment":[13,141,261,441,477,689,710,730,774,805,815,821,836,906,971,979],"analysis":[14,219,263,382,442,660,711,731,822,842,907,998],"opinion":[16,143,475,541,589,595,604,744,751,757,781,839,846,871,973],"mining,":[17],"field":[19,376],"of":[20,97,112,115,138,168,220,233,239,264,269,286,305,330,344,354,356,371,392,449,454,470,489,504,512,550,564,575,586,594,675,688,719,742,754,763,770,827,843,900,991,999],"study":[21],"that":[22,50,149,253,385,438,511,597,697,764,766,779,796,883,934,948],"investigates":[23],"computational":[24,362,455],"techniques":[25,252,347,624,877,976],"analyzing":[27,664,939],"to":[29,43,46,59,68,131,156,164,178,259,284,405,414,494,530,545,570,870,878,994],"uncover":[30],"the":[31,65,69,72,103,124,134,150,174,176,180,205,218,231,237,240,248,274,326,352,375,390,402,411,430,434,452,482,498,502,540,592,600,614,623,676,686,693,728,734,743,759,768,771,773,777,780,793,828,841,887,901,911,954,966,997],"opinions,":[32,845],"sentiment,":[33],"emotions,":[34],"evaluations":[36],"expressed":[37],"therein.":[38],"As":[39,408],"such,":[40],"it":[41,625,797,984],"aims":[42],"be":[44,153,415,444,485,531,546,661],"accessible":[45,155],"broad":[48],"audience":[49],"includes":[51],"students,":[52],"researchers,":[53,983],"practitioners,":[55],"well":[57,400,629,944],"cover":[60],"all":[61,170],"important":[62,171],"topics":[63,172,345,565],"in":[64,102,121,173,196,223,230,278,341,374,497,608,611,620,645,663,678,695,699,752,920,941,964,996],"field.With":[66],"regard":[67,163],"first":[70,255],"aim,":[71],"very":[75,214,958],"much":[76,215],"success:":[78],"The":[79,119,721,784],"writing":[80,609],"clear":[82],"concise,":[84],"informative":[85],"examples":[86,242],"motivate":[87],"each":[88,113],"new":[89,492,992],"topic,":[90],"terminology":[91,696],"clearly":[93],"defined,":[94],"descriptions":[96,111],"key":[98],"algorithms":[99],"are":[100,243,254,369,553,568,598,787,801,832,916],"provided":[101],"running":[104],"along":[106],"with":[107,158,294,424,429,447],"short":[108,673],"(usually":[109],"one-line)":[110],"piece":[114],"relevant":[116],"related":[117],"work.":[118],"latter,":[120],"particular,":[122,501],"makes":[123],"an":[126,416,425,740,750,936],"excellent":[127],"platform":[128],"from":[129,209,244,351,510],"which":[130,179],"dive":[132],"into":[133,727],"quickly":[135,967],"expanding":[136,968],"body":[137],"literature":[139,732,969],"on":[140,251,377,389,474,496,630,803,835,886,896,904,925,970],"analysis.":[144,690,980],"In":[145,500],"addition,":[146],"I":[147],"believe":[148],"should":[152],"easily":[154],"anyone":[157],"computer":[160],"science":[161],"background.With":[162],"Liu's":[165,192,226,471],"second":[166],"aim":[167],"covering":[169],"field,":[175],"degree":[177],"succeeds":[182],"matter":[185],"of,":[186],"well,":[187],"opinion.":[188],"Let":[189],"me":[190],"explain.":[191],"early":[193],"research":[194,712],"was":[195,782],"data":[197],"mining":[198,745],"Web":[200,849],"mining;":[201],"not":[202,461,599],"surprisingly":[203],"then,":[204],"this":[210,245,279,606,790],"perspective.":[211],"It":[212,691],"centered":[216],"around":[217,789],"user-generated":[221],"opinions":[222,265,940],"social":[224],"media.":[225],"particular":[227],"expertise":[228],"area":[232,280],"product":[234,505,634,665,881],"reviews;":[235,635],"hence,":[236,567],"bulk":[238],"book's":[241],"domain.":[246],"Furthermore,":[247],"focuses":[250],"foremost":[257],"applicable":[258],"aspect-based":[260,440,820,905,978],"analysis\u2014fine-grained":[262],"regarding":[266],"specific":[267],"aspects":[268,298],"products":[270,288],"services.":[272],"For":[273,981],"most":[275,912],"part,":[276],"investigations":[277],"have":[281],"been":[282],"restricted":[283],"reviews":[285,506,528],"electronics":[287],"(e.g.,":[289,299,516],"cameras),":[290],"hotels,":[291],"restaurants":[293],"their":[295],"associated":[296],"entity-specific":[297],"weight,":[300],"photo":[301],"quality,":[302],"ease":[304],"use":[306],"cameras;":[308],"rooms,":[309],"front":[310],"desk":[311],"service,":[312,319],"cleanliness":[314],"hotels;":[316],"food,":[318],"ambience,":[320],"cost":[322],"restaurants).In":[324],"contrast,":[325],"similarly":[327],"named":[328],"Pang":[331,364],"Lee":[333],"(2008)\u2014Opinion":[334],"Mining":[335],"Sentiment":[337],"Analysis\u2014is":[338],"more":[339,649],"even-handed":[340],"its":[342,755],"selection":[343],"point":[353],"view":[355],"natural":[357],"language":[358,503,651],"processing":[359],"(NLP)":[360],"linguistics.":[363],"Lee,":[366],"example,":[368],"aware":[370],"prior":[372],"work":[373,495],"fact":[378],"event-based":[380],"and,":[383,566],"within":[384],"context,":[386,587],"focus":[387],"consciously":[388],"description":[391],"\u201cnew":[393],"challenges1":[394],"raised":[395],"by":[396,909],"sentiment-aware":[397],"applications\u201d":[398],"methods":[403],"proposed":[404],"address":[406,949],"them.":[407],"result,":[410],"proves":[413],"easy,":[417],"comfortable":[418],"(and":[419],"entertaining)":[420],"read":[421],"those":[423,450,962],"NLP-centric":[426],"ancestry.Not":[427],"so":[428],"Liu":[431,875],"survey,":[432],"because":[433,469],"goals":[435],"assumptions":[437],"underlie":[439],"can":[443,557,985],"at":[445,451,716],"odds":[446],"many":[448,480],"core":[453],"linguistics":[456],"NLP.":[458,720],"But":[459],"do":[460],"despair!":[462],"good":[466],"thing!":[467],"Precisely":[468],"different":[472,509],"tack":[473],"analysis,":[478,974],"readers":[481],"will":[484,627,641],"wonderful":[487],"source":[488,990],"ideas":[490],"problems":[493,993],"field.":[499],"quite":[508,532],"other":[513,921],"opinion-oriented":[514,551,631,1000],"editorials,":[517],"blogs,":[518],"position":[519],"papers,":[520],"political":[521],"arguments,":[522],"even":[524],"movie":[525],"reviews).":[526],"Product":[527],"tend":[529,544],"short;":[533],"they":[534,556,642],"describe":[535],"single,":[537],"known":[538],"product;":[539],"expressions":[542],"themselves":[543],"product-specific.":[547],"Other":[548],"genres":[549,610],"generally":[554],"longer;":[555],"discuss":[558],"virtually":[559,582],"any":[560],"topic":[561],"or":[562,658],"set":[563],"likely":[569],"exhibit":[571],"greater":[573],"variety":[574],"sentence":[576],"discourse":[578,659],"structure,":[579],"including":[580,923],"unlimited":[583],"(and,":[584],"out":[585],"ambiguous)":[588],"expression":[590],"vocabulary,":[591],"presence":[593],"holders":[596],"author,":[601],"implicit":[603],"targets.With":[605],"contrast":[607],"mind,":[612],"reading":[613],"becomes":[616],"thought":[618],"experiment":[619],"determining":[621,852],"whether":[622],"covers":[626],"perform":[628],"texts":[632],"beyond":[633,733],"if":[636],"not,":[637],"how":[638],"when":[640],"fail;":[643],"what":[646],"circumstances":[647],"might":[648],"complex":[650],"understanding":[652,965],"components":[653],"like":[654],"parsing,":[655],"semantic":[656],"interpretation,":[657],"helpful":[662],"reviews?The":[666],"contains":[668],"eleven":[669],"chapters":[670,786,802,834,922],"(with":[671],"summary":[674],"final":[680],"twelfth":[681],"chapter).":[682],"Chapter":[683],"1":[684],"introduces":[685],"problem":[687,746],"discusses":[692],"differences":[694],"exist":[698],"industry":[700],"vs.":[701],"academia":[702],"briefly":[704],"describes":[705,876],"approximately":[706],"20":[707],"recent2":[708],"applications-oriented":[709],"efforts":[713],"published":[714],"largely":[715],"venues":[717],"outside":[718],"latter":[722],"nice":[725,918],"entree":[726],"applied":[729],"standard":[735],"NLP":[736,982],"conferences.Chapter":[737],"2":[738],"provides":[739],"abstraction":[741],"formally":[748],"defines":[749],"terms":[753,933],"components\u2014the":[756],"holder,":[758],"entity":[760,765],"aspect":[762],"target":[769],"opinion,":[772,937],"expressed,":[775],"time":[778],"expressed.":[783],"remaining":[785],"organized":[788],"definition":[791],"sentiment-based":[794],"applications":[795],"enables.":[798],"Thus,":[799],"there":[800,915],"document-level":[804],"classification":[806,816],"rating":[808],"prediction":[809],"(Chapter":[810,817,823],"3),":[811],"sentence-level":[812],"subjectivity":[813],"4),":[818],"5,":[824],"roughly":[825],"one-quarter":[826],"book).":[829],"Following":[830],"these":[831],"shorter":[833],"lexicon":[837],"generation,":[838],"summarization,":[840],"comparative":[844],"retrieval":[847],"(vs.":[848],"search),":[850],"review":[853,888],"quality":[854],"(Chapters":[855],"6,":[856],"7,":[857],"8,":[858],"9,":[859],"11,":[861],"respectively).Chapter":[862],"10":[863],"somewhat":[866],"longer":[867],"chapter":[868,903],"devoted":[869],"spam":[872],"detection.":[873],"Here":[874],"identify":[879],"fake":[880],"reviews\u2014some":[882],"rely":[884],"primarily":[885],"content":[889],"available":[891],"meta-data,":[892],"others":[894],"based":[895],"identifying":[897],"atypical":[898],"behaviors":[899],"reviewer(s).The":[902],"is,":[908],"far,":[910],"detailed,":[913],"but":[914],"some":[917],"surprises":[919],"sections":[924,947],"handling":[926],"sarcastic":[927],"sentences,":[928],"learning":[929],"priori":[931],"objective":[932],"imply":[935],"contexts,":[942],"multiple":[946],"cross-language":[950],"cross-domain":[952],"issues.Overall,":[953],"valuable":[959],"resource":[960],"interested":[963],"especially":[975],"also":[986],"serve":[987],"tackle":[995],"text.":[1001]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
