{"id":"https://openalex.org/W2566744657","doi":"https://doi.org/10.1109/rivf.2016.7800291","title":"Streaming aspect-sentiment analysis","display_name":"Streaming aspect-sentiment analysis","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2566744657","doi":"https://doi.org/10.1109/rivf.2016.7800291","mag":"2566744657"},"language":"en","primary_location":{"id":"doi:10.1109/rivf.2016.7800291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2016.7800291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE RIVF International Conference on Computing &amp; Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)","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/A5032065024","display_name":"Vu Le Anh","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":true,"raw_author_name":"Vu Le Anh","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058568069","display_name":"Chien Phung Van","orcid":null},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Chien Phung Van","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030118112","display_name":"Cuong Vu Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147826","display_name":"Vietnamese - German Center of Excellence in Medical Research","ror":"https://ror.org/04aczrd15","country_code":"VN","type":"facility","lineage":["https://openalex.org/I4210147826"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Cuong Vu Cao","raw_affiliation_strings":["VCCorp, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"VCCorp, Hanoi, Vietnam","institution_ids":["https://openalex.org/I4210147826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022485068","display_name":"Linh Ngo Van","orcid":"https://orcid.org/0000-0002-0011-5137"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Linh Ngo Van","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054854013","display_name":"Khoat Than","orcid":"https://orcid.org/0000-0001-8615-2854"},"institutions":[{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Khoat Than","raw_affiliation_strings":["Hanoi University of Science and Technology, Hanoi, Vietnam"],"affiliations":[{"raw_affiliation_string":"Hanoi University of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I94518387"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032065024"],"corresponding_institution_ids":["https://openalex.org/I94518387"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80186294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"181","last_page":"186"},"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/T10028","display_name":"Topic Modeling","score":0.9986000061035156,"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":0.9980999827384949,"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":0.8522219657897949},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7603253126144409},{"id":"https://openalex.org/keywords/unification","display_name":"Unification","score":0.7543680667877197},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.5269672870635986},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5251074433326721},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5137165784835815},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4713520407676697},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.44860485196113586},{"id":"https://openalex.org/keywords/streaming-algorithm","display_name":"Streaming algorithm","score":0.447780042886734},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.4410324990749359},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4274160861968994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4271976351737976},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41152146458625793},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40994977951049805},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.11026990413665771}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8522219657897949},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7603253126144409},{"id":"https://openalex.org/C96146094","wikidata":"https://www.wikidata.org/wiki/Q609057","display_name":"Unification","level":2,"score":0.7543680667877197},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.5269672870635986},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5251074433326721},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5137165784835815},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4713520407676697},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.44860485196113586},{"id":"https://openalex.org/C187166803","wikidata":"https://www.wikidata.org/wiki/Q2835831","display_name":"Streaming algorithm","level":3,"score":0.447780042886734},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.4410324990749359},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4274160861968994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4271976351737976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41152146458625793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40994977951049805},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.11026990413665771},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rivf.2016.7800291","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rivf.2016.7800291","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE RIVF International Conference on Computing &amp; Communication Technologies, Research, Innovation, and Vision for the Future (RIVF)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W319974279","https://openalex.org/W1880262756","https://openalex.org/W2044429219","https://openalex.org/W2096110600","https://openalex.org/W2108420397","https://openalex.org/W2108646579","https://openalex.org/W2109706083","https://openalex.org/W2110558001","https://openalex.org/W2165599843","https://openalex.org/W2165664073","https://openalex.org/W2166851633","https://openalex.org/W2168947765","https://openalex.org/W2189421284","https://openalex.org/W2250585720","https://openalex.org/W2252012216","https://openalex.org/W2951057540","https://openalex.org/W4211186029","https://openalex.org/W4294562888","https://openalex.org/W6611191359","https://openalex.org/W6639619044","https://openalex.org/W6676809411","https://openalex.org/W6684489972","https://openalex.org/W6684578138","https://openalex.org/W6684877843","https://openalex.org/W6687498792"],"related_works":["https://openalex.org/W2241126753","https://openalex.org/W3191101401","https://openalex.org/W4389449520","https://openalex.org/W1824789409","https://openalex.org/W1965676450","https://openalex.org/W4224062203","https://openalex.org/W4281572076","https://openalex.org/W2991654599","https://openalex.org/W201138236","https://openalex.org/W2205964444"],"abstract_inverted_index":{"Sentiment":[0,51],"analysis":[1],"of":[2,90,141],"online":[3],"users":[4],"has":[5,57,98],"been":[6],"attracting":[7],"significant":[8],"interests":[9],"in":[10,144],"both":[11],"academics":[12],"and":[13,33,50,104,139],"industry,":[14],"but":[15],"is":[16,42,66,71,93],"always":[17],"challenging.":[18],"In":[19],"this":[20],"paper,":[21],"we":[22],"propose":[23],"an":[24,94],"effective":[25],"algorithm":[26,69,92,143],"that":[27],"can":[28,125],"work":[29],"with":[30,75,80],"text":[31,35],"streams":[32],"big":[34],"collections,":[36],"without":[37],"human":[38],"supervision.":[39],"This":[40],"method":[41,56,96,124],"based":[43],"on":[44,132],"the":[45,88,137],"state-of-the-art":[46],"model,":[47],"namely":[48],"Aspect":[49],"Unification":[52],"Model":[53],"(ASUM).":[54],"Our":[55],"several":[58],"advantages":[59],"compared":[60],"to":[61,73,117],"existing":[62,82,108],"approaches:":[63],"(i)":[64],"it":[65],"a":[67,99],"streaming":[68,78],"which":[70,97],"able":[72],"deal":[74],"large":[76],"or":[77],"data,":[79],"whom":[81],"approaches":[83],"cannot":[84],"work;":[85],"(ii)":[86],"at":[87],"core":[89],"our":[91,123,142],"inference":[95],"theoretical":[100],"guarantee":[101],"about":[102],"quality":[103],"convergence":[105],"rate,":[106],"whereas":[107],"methods":[109],"do":[110,126],"not":[111],"have;":[112],"(iii)":[113],"by":[114],"further":[115],"proposing":[116],"keep":[118],"prior":[119],"knowledge":[120],"when":[121],"learning,":[122],"sentiment":[127],"classification":[128],"better.":[129],"Extensive":[130],"experiments":[131],"different":[133],"review":[134],"datasets":[135],"show":[136],"effectiveness":[138],"efficiency":[140],"practice.":[145]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
