{"id":"https://openalex.org/W2741218531","doi":"https://doi.org/10.1145/3077136.3084148","title":"ReviewMiner","display_name":"ReviewMiner","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2741218531","doi":"https://doi.org/10.1145/3077136.3084148","mag":"2741218531"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3084148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3084148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101139233","display_name":"Derek Wu","orcid":"https://orcid.org/0009-0005-9948-1071"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek Wu","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, Charlottesville, VA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Virginia, Charlottesville, VA, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":0.6921,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.74337537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1285","last_page":"1288"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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":0.9937000274658203,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9158134460449219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8257864117622375},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5608636736869812},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5525328516960144},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5398736000061035},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5290761590003967},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4296516180038452},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3225526809692383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2783318758010864}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9158134460449219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8257864117622375},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5608636736869812},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5525328516960144},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5398736000061035},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5290761590003967},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4296516180038452},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3225526809692383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2783318758010864},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3077136.3084148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3084148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5245339017","display_name":"CAREER: Human-Centric Knowledge Discovery and Decision Optimization","funder_award_id":"1553568","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1508977358","https://openalex.org/W1988931981","https://openalex.org/W1990476851","https://openalex.org/W2017238344","https://openalex.org/W2019207508","https://openalex.org/W2061873838","https://openalex.org/W2116959421","https://openalex.org/W2122654842","https://openalex.org/W2123937625","https://openalex.org/W2128279859","https://openalex.org/W2137191349","https://openalex.org/W2141631351","https://openalex.org/W2152314154","https://openalex.org/W2160409620","https://openalex.org/W3031968991","https://openalex.org/W4248378535","https://openalex.org/W4248506559"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4323520239","https://openalex.org/W4389760904","https://openalex.org/W4306886878"],"abstract_inverted_index":{"We":[0],"develop":[1],"an":[2,14,17],"aspect-based":[3],"sentiment":[4],"analysis":[5],"system":[6,54],"named":[7],"ReviewMiner.":[8],"It":[9],"analyzes":[10],"opinions":[11,80],"expressed":[12],"about":[13],"entity":[15],"in":[16,81],"online":[18],"review":[19],"at":[20],"the":[21,47,51,56,65,73],"level":[22],"of":[23,50],"topical":[24],"aspects":[25,44],"to":[26,60,100],"discover":[27],"each":[28,34],"individual":[29],"reviewer's":[30],"latent":[31],"opinion":[32,90],"on":[33,42,72],"aspect":[35],"as":[36,38],"well":[37],"his/her":[39],"relative":[40],"emphasis":[41],"different":[43],"when":[45],"forming":[46],"overall":[48],"judgment":[49],"entity.":[52],"The":[53,87],"personalizes":[55],"retrieved":[57],"results":[58],"according":[59],"users'":[61],"input":[62],"preferences":[63],"over":[64],"identified":[66],"aspects,":[67],"recommends":[68],"similar":[69],"items":[70],"based":[71],"detailed":[74],"aspect-level":[75,79],"opinions,":[76],"and":[77,84,92],"summarizes":[78],"textual,":[82],"temporal":[83],"spatial":[85],"dimensions.":[86],"unique":[88],"multi-modal":[89],"summarization":[91],"visualization":[93],"mechanisms":[94],"provide":[95],"users":[96],"with":[97],"rich":[98],"perspectives":[99],"digest":[101],"information":[102],"from":[103],"user-generated":[104],"opinionated":[105],"content":[106],"for":[107],"making":[108],"informed":[109],"decisions.":[110]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2017-08-08T00:00:00"}