{"id":"https://openalex.org/W2084698743","doi":"https://doi.org/10.1109/icpr.2014.481","title":"A Product Aspects Identification Method by Using Translation-Based Language Model","display_name":"A Product Aspects Identification Method by Using Translation-Based Language Model","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2084698743","doi":"https://doi.org/10.1109/icpr.2014.481","mag":"2084698743"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2014.481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2014.481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Pattern Recognition","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/A5091594803","display_name":"Jintao Du","orcid":"https://orcid.org/0009-0006-8086-1207"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jintao Du","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111502267","display_name":"Wen Chan","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Chan","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090238197","display_name":"Xiangdong Zhou","orcid":"https://orcid.org/0000-0002-4451-5327"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangdong Zhou","raw_affiliation_strings":["School of Computer Science, Fudan University, Shanghai, China","Fudan University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":0.6203,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68261664,"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":"2790","last_page":"2795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","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/T12016","display_name":"Web Data Mining and Analysis","score":0.9980000257492065,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9979000091552734,"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":0.8252649307250977},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.7614724636077881},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6507317423820496},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5974647402763367},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.587439775466919},{"id":"https://openalex.org/keywords/machine-translation","display_name":"Machine translation","score":0.5365123748779297},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.529610276222229},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.49601754546165466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.495959609746933},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.4745795726776123},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1251297891139984}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8252649307250977},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.7614724636077881},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6507317423820496},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5974647402763367},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.587439775466919},{"id":"https://openalex.org/C203005215","wikidata":"https://www.wikidata.org/wiki/Q79798","display_name":"Machine translation","level":2,"score":0.5365123748779297},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.529610276222229},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.49601754546165466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.495959609746933},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.4745795726776123},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1251297891139984},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2014.481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2014.481","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 22nd International Conference on Pattern Recognition","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W132190833","https://openalex.org/W1517771839","https://openalex.org/W1581485226","https://openalex.org/W1859957297","https://openalex.org/W2049493498","https://openalex.org/W2087294982","https://openalex.org/W2095577376","https://openalex.org/W2096259080","https://openalex.org/W2112744748","https://openalex.org/W2125247664","https://openalex.org/W2137191349","https://openalex.org/W2137207778","https://openalex.org/W2141631351","https://openalex.org/W2147308966","https://openalex.org/W2154352106","https://openalex.org/W2160660844","https://openalex.org/W2163114435","https://openalex.org/W2251621831","https://openalex.org/W6605396400","https://openalex.org/W6630938537","https://openalex.org/W6634901647","https://openalex.org/W6639206055","https://openalex.org/W6674588441","https://openalex.org/W6678758883","https://openalex.org/W6680324502","https://openalex.org/W6683046363","https://openalex.org/W6683755710","https://openalex.org/W6691911852"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2883671469"],"abstract_inverted_index":{"Aspect":[0],"identification":[1,32,69],"is":[2,33,101],"a":[3,64,73],"fundamental":[4],"basic":[5],"process":[6],"for":[7,81],"web":[8,96],"opinion":[9,42],"analysis":[10],"of":[11,22,27,30,51],"product":[12],"reviews,":[13],"which":[14],"shows":[15],"great":[16],"potential":[17],"in":[18,91],"many":[19],"real":[20],"applications":[21],"e-commerce.":[23],"The":[24,84],"main":[25],"stream":[26],"the":[28,36,49,52,58,110],"solutions":[29],"aspects":[31],"to":[34,55,76],"explore":[35],"modification":[37,59,79],"relationship":[38],"between":[39],"aspect":[40,68],"and":[41,109],"words.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47,62],"investigate":[48],"complexity":[50],"review":[53],"sentence":[54],"better":[56],"capture":[57],"relations.":[60],"Then,":[61],"propose":[63],"language":[65],"model":[66,75],"based":[67],"method":[70],"integrated":[71],"with":[72,105],"translation":[74],"exploit":[77],"these":[78],"relations":[80],"performance":[82],"improvement.":[83],"experimental":[85],"results":[86],"on":[87],"11":[88],"popular":[89],"products":[90],"four":[92],"domains":[93],"from":[94],"various":[95],"sites":[97],"show":[98],"our":[99],"approach":[100],"more":[102],"effective":[103],"compared":[104],"some":[106],"strong":[107],"baselines":[108],"state-of-the-art":[111],"methods.":[112]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}