{"id":"https://openalex.org/W2001587475","doi":"https://doi.org/10.1145/2009916.2010006","title":"ILDA","display_name":"ILDA","publication_year":2011,"publication_date":"2011-07-24","ids":{"openalex":"https://openalex.org/W2001587475","doi":"https://doi.org/10.1145/2009916.2010006","mag":"2001587475"},"language":"en","primary_location":{"id":"doi:10.1145/2009916.2010006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-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/A5059571650","display_name":"Samaneh Moghaddam","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Samaneh Moghaddam","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada","[Simon Fraser University Burnaby, BC, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"[Simon Fraser University Burnaby, BC, Canada]","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018267399","display_name":"Martin Ester","orcid":"https://orcid.org/0000-0001-7732-2815"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Martin Ester","raw_affiliation_strings":["Simon Fraser University, Burnaby, BC, Canada","[Simon Fraser University Burnaby, BC, Canada]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, BC, Canada","institution_ids":["https://openalex.org/I18014758"]},{"raw_affiliation_string":"[Simon Fraser University Burnaby, BC, Canada]","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":17.5864,"has_fulltext":false,"cited_by_count":202,"citation_normalized_percentile":{"value":0.99227687,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"665","last_page":"674"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9983000159263611,"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":0.9868000149726868,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7579903602600098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7315034866333008},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.6396318674087524},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6364883780479431},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.614464282989502},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.6127175092697144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5685709118843079},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5175270438194275},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.4799102246761322},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.46239006519317627},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4329929053783417},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42737337946891785},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42661598324775696},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.41003745794296265},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38459542393684387},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.339889258146286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32159626483917236},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18949458003044128},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09489861130714417},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09014782309532166}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7579903602600098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7315034866333008},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.6396318674087524},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6364883780479431},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.614464282989502},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.6127175092697144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5685709118843079},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5175270438194275},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.4799102246761322},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.46239006519317627},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4329929053783417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42737337946891785},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42661598324775696},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.41003745794296265},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38459542393684387},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.339889258146286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32159626483917236},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18949458003044128},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09489861130714417},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09014782309532166},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2009916.2010006","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2009916.2010006","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1880262756","https://openalex.org/W1971889796","https://openalex.org/W2020842694","https://openalex.org/W2033403400","https://openalex.org/W2047676437","https://openalex.org/W2049633694","https://openalex.org/W2081375810","https://openalex.org/W2096110600","https://openalex.org/W2107743791","https://openalex.org/W2112050062","https://openalex.org/W2126854223","https://openalex.org/W2129294185","https://openalex.org/W2134854314","https://openalex.org/W2141631351","https://openalex.org/W2145071407","https://openalex.org/W2145677303","https://openalex.org/W2154970197","https://openalex.org/W2160409620","https://openalex.org/W2160660844","https://openalex.org/W2166817967","https://openalex.org/W2168175751","https://openalex.org/W2171343266","https://openalex.org/W4205184193","https://openalex.org/W4233135949","https://openalex.org/W4239545644","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W2888805565","https://openalex.org/W4312773271","https://openalex.org/W4315588616","https://openalex.org/W2769501189","https://openalex.org/W2962686197","https://openalex.org/W2207653751","https://openalex.org/W4293863151","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W3005513013"],"abstract_inverted_index":{"Today,":[0],"more":[1,3,188],"and":[2,17,33,38,59,147,162,201,236,241],"product":[4,12,171],"reviews":[5,46],"become":[6],"available":[7],"on":[8,212],"the":[9,31,60,109,120,194,219,223,229,237],"Internet,":[10],"e.g.,":[11],"review":[13],"forums,":[14],"discussion":[15],"groups,":[16],"Blogs.":[18],"However,":[19],"it":[20],"is":[21,63,72,87,104,187],"almost":[22],"impossible":[23],"for":[24,82,190,205],"a":[25,78,83,126,166,213,232],"customer":[26],"to":[27,94,144,164],"read":[28],"all":[29],"of":[30,77,108,114,122,128,150,170,222,228,231,239],"different":[32,92],"possibly":[34],"even":[35],"contradictory":[36],"opinions":[37],"make":[39],"an":[40,52,64,73,96,105,123],"informed":[41],"decision.":[42],"Therefore,":[43],"mining":[44],"online":[45,153],"(opinion":[47],"mining)":[48],"has":[49],"emerged":[50],"as":[51],"interesting":[53],"new":[54],"research":[55],"direction.":[56],"Extracting":[57],"aspects":[58,146,200,240],"corresponding":[61,148],"ratings":[62,149],"important":[65],"challenge":[66],"in":[67,112,226],"opinion":[68],"mining.":[69],"An":[70],"aspect":[71,97,124,168,242],"attribute":[74],"or":[75],"component":[76],"product,":[79],"e.g.":[80,130],"'screen'":[81],"digital":[84],"camera.":[85],"It":[86],"common":[88],"that":[89],"reviewers":[90],"use":[91],"words":[93],"describe":[95],"(e.g.":[98],"'LCD',":[99],"'display',":[100],"'screen').":[101],"A":[102],"rating":[103,121],"intended":[106],"interpretation":[107],"user":[110],"satisfaction":[111],"terms":[113,227],"numerical":[115],"values.":[116],"Reviewers":[117],"usually":[118],"express":[119],"by":[125],"set":[127],"sentiments,":[129],"'blurry":[131],"screen'.":[132],"In":[133],"this":[134],"paper":[135],"we":[136,177],"present":[137],"three":[138],"probabilistic":[139,196],"graphical":[140],"models":[141,158],"which":[142],"aim":[143],"extract":[145],"products":[151],"from":[152],"reviews.":[154,172],"The":[155],"first":[156],"two":[157],"extend":[159],"standard":[160],"PLSI":[161],"LDA":[163],"generate":[165],"rated":[167],"summary":[169],"As":[173],"our":[174,191,206],"main":[175],"contribution,":[176],"introduce":[178],"Interdependent":[179],"Latent":[180],"Dirichlet":[181],"Allocation":[182],"(ILDA)":[183],"model.":[184],"This":[185],"model":[186,225],"natural":[189],"task":[192],"since":[193],"underlying":[195],"assumptions":[197],"(interdependency":[198],"between":[199],"ratings)":[202],"are":[203],"appropriate":[204],"problem":[207],"domain.":[208],"We":[209],"conduct":[210],"experiments":[211],"real":[214],"life":[215],"dataset,":[216],"Epinions.com,":[217],"demonstrating":[218],"improved":[220],"effectiveness":[221],"ILDA":[224],"likelihood":[230],"held-out":[233],"test":[234],"set,":[235],"accuracy":[238],"ratings.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":18},{"year":2016,"cited_by_count":19},{"year":2015,"cited_by_count":31},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":18},{"year":2012,"cited_by_count":7}],"updated_date":"2026-06-13T07:54:00.901334","created_date":"2016-06-24T00:00:00"}