{"id":"https://openalex.org/W1988931981","doi":"https://doi.org/10.1145/1148170.1148215","title":"Identifying comparative sentences in text documents","display_name":"Identifying comparative sentences in text documents","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W1988931981","doi":"https://doi.org/10.1145/1148170.1148215","mag":"1988931981"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual 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/A5110576904","display_name":"Nitin Jindal","orcid":null},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nitin Jindal","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339927","display_name":"Bing Liu","orcid":"https://orcid.org/0000-0002-4096-6980"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bing Liu","raw_affiliation_strings":["University of Illinois at Chicago, Chicago, IL"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Chicago, Chicago, IL","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110576904"],"corresponding_institution_ids":["https://openalex.org/I39422238"],"apc_list":null,"apc_paid":null,"fwci":21.8647,"has_fulltext":false,"cited_by_count":444,"citation_normalized_percentile":{"value":0.99496274,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"244","last_page":"251"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9980000257492065,"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":0.9966999888420105,"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/computer-science","display_name":"Computer science","score":0.7747083902359009},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7583166360855103},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6366090774536133},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6317850947380066},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5850390791893005},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5549717545509338},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5263862609863281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49906301498413086},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48745012283325195},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.43963927030563354},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3300866484642029}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7747083902359009},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7583166360855103},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6366090774536133},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6317850947380066},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5850390791893005},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5549717545509338},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5263862609863281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49906301498413086},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48745012283325195},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.43963927030563354},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3300866484642029},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1148170.1148215","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148215","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.63.6127","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.6127","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uic.edu/~liub/publications/sigir06-comp.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W147952312","https://openalex.org/W900993354","https://openalex.org/W1515087027","https://openalex.org/W1549016832","https://openalex.org/W1576520375","https://openalex.org/W1581182915","https://openalex.org/W1604938182","https://openalex.org/W1998442272","https://openalex.org/W1999912290","https://openalex.org/W2000106226","https://openalex.org/W2038721957","https://openalex.org/W2068383400","https://openalex.org/W2080558111","https://openalex.org/W2081375810","https://openalex.org/W2081687495","https://openalex.org/W2088622183","https://openalex.org/W2093092055","https://openalex.org/W2112247328","https://openalex.org/W2115023510","https://openalex.org/W2141631351","https://openalex.org/W2143969069","https://openalex.org/W2148506018","https://openalex.org/W2150098611","https://openalex.org/W2155328222","https://openalex.org/W2156909104","https://openalex.org/W2158454296","https://openalex.org/W2160660844","https://openalex.org/W2166706824","https://openalex.org/W2168196587","https://openalex.org/W2399573548","https://openalex.org/W2519011775","https://openalex.org/W3146306708","https://openalex.org/W4235505822"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W2941935829","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W4301373556","https://openalex.org/W2605642833","https://openalex.org/W2588268827","https://openalex.org/W2382028496","https://openalex.org/W3003391463","https://openalex.org/W3094520207"],"abstract_inverted_index":{"This":[0,180],"paper":[1,181],"studies":[2,28],"the":[3,29,40,44,71,93,162,185,249],"problem":[4,13,30],"of":[5,31,43,50,105,119,129,161,166,222,228,237,241],"identifying":[6,211],"comparative":[7,113,148,186,193,212],"sentences":[8,136,149,194,213],"in":[9,88,153,248],"text":[10,215],"documents.":[11,216],"The":[12],"is":[14,53,82,101,109,115,123,150],"related":[15],"to":[16,62,183,210],"but":[17],"quite":[18,144],"different":[19,138,145,196],"from":[20,214],"sentiment/opinion":[21,51],"sentence":[22,37,100,114,187],"identification":[23,52,188],"or":[24,35,77],"classification.":[25],"Sentiment":[26],"classification":[27],"classifying":[32],"a":[33,36,57,80,201,235],"document":[34],"based":[38],"on":[39,66,70,176],"subjective":[41,76],"opinion":[42,99],"author.":[45],"An":[46,97,111],"important":[47,173],"application":[48],"area":[49],"business":[54],"intelligence":[55],"as":[56,125,127],"product":[58],"manufacturer":[59],"always":[60],"wants":[61],"know":[63],"consumers'":[64],"opinions":[65,175],"its":[67],"products.":[68],"Comparisons":[69],"other":[72],"hand":[73],"can":[74],"be":[75,171],"objective.":[78],"Furthermore,":[79],"comparison":[81],"not":[83,124],"concerned":[84],"with":[85,95],"an":[86],"object":[87,94],"isolation.":[89],"Instead,":[90],"it":[91],"compares":[92],"others.":[96],"example":[98,112],"\"the":[102,116],"sound":[103,117],"quality":[104,118],"CD":[106,120,130],"player":[107,121,131],"X":[108,122],"poor\".":[110],"good":[126],"that":[128],"Y\".":[132],"Clearly,":[133],"these":[134],"two":[135],"give":[137],"information.":[139],"Their":[140],"language":[141],"constructs":[142],"are":[143,158,246],"too.":[146],"Identifying":[147],"also":[151],"useful":[152],"practice":[154],"because":[155],"direct":[156],"comparisons":[157],"perhaps":[159],"one":[160],"most":[163],"convincing":[164],"ways":[165],"evaluation,":[167],"which":[168],"may":[169],"even":[170],"more":[172],"than":[174],"each":[177],"individual":[178],"object.":[179],"proposes":[182],"study":[184],"problem.":[189],"It":[190],"first":[191],"categorizes":[192],"into":[195],"types,":[197],"and":[198,206,230,239],"then":[199],"presents":[200],"novel":[202],"integrated":[203],"pattern":[204],"discovery":[205],"supervised":[207],"learning":[208],"approach":[209],"Experiment":[217],"results":[218,245],"using":[219],"three":[220],"types":[221],"documents,":[223],"news":[224],"articles,":[225],"consumer":[226],"reviews":[227],"products,":[229],"Internet":[231],"forum":[232],"postings,":[233],"show":[234],"precision":[236],"79%":[238],"recall":[240],"81%.":[242],"More":[243],"detailed":[244],"given":[247],"paper.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":34},{"year":2019,"cited_by_count":23},{"year":2018,"cited_by_count":19},{"year":2017,"cited_by_count":30},{"year":2016,"cited_by_count":33},{"year":2015,"cited_by_count":53},{"year":2014,"cited_by_count":39},{"year":2013,"cited_by_count":42},{"year":2012,"cited_by_count":25}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}