{"id":"https://openalex.org/W3183887682","doi":"https://doi.org/10.1109/mnet.011.2000400","title":"Aspect-Based Sentiment Analysis of User Reviews in 5G Networks","display_name":"Aspect-Based Sentiment Analysis of User Reviews in 5G Networks","publication_year":2021,"publication_date":"2021-07-01","ids":{"openalex":"https://openalex.org/W3183887682","doi":"https://doi.org/10.1109/mnet.011.2000400","mag":"3183887682"},"language":"en","primary_location":{"id":"doi:10.1109/mnet.011.2000400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000400","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Network","raw_type":"journal-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/A5100343712","display_name":"Yin Zhang\u22c6","orcid":"https://orcid.org/0000-0002-1772-0763"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, and Qingdao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, and Qingdao University","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019035804","display_name":"Huimin Lu","orcid":"https://orcid.org/0000-0001-9794-3221"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Huimin Lu","raw_affiliation_strings":["Kyushu Institue of Technology, and Qingdao University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Institue of Technology, and Qingdao University","institution_ids":["https://openalex.org/I207014233","https://openalex.org/I108688024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067678003","display_name":"Chi Jiang","orcid":"https://orcid.org/0009-0005-4481-7711"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Jiang","raw_affiliation_strings":["Zhongnan University of Economics and Law"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhongnan University of Economics and Law","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353780","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-0041-3134"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["Shanghai Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048879956","display_name":"Xinliang Tian","orcid":"https://orcid.org/0000-0002-5261-0084"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinliang Tian","raw_affiliation_strings":["Shanghai Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5393,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86026433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"4","first_page":"228","last_page":"233"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9995999932289124,"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":0.9995999932289124,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9616000056266785,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.9080460071563721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8494507074356079},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6757131814956665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6275273561477661},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6010391116142273},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5309386253356934},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5047692060470581},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.49344006180763245},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.48137786984443665},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4750747084617615}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.9080460071563721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8494507074356079},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6757131814956665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6275273561477661},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6010391116142273},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5309386253356934},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5047692060470581},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.49344006180763245},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.48137786984443665},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4750747084617615},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mnet.011.2000400","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mnet.011.2000400","pdf_url":null,"source":{"id":"https://openalex.org/S186584794","display_name":"IEEE Network","issn_l":"0890-8044","issn":["0890-8044","1558-156X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Network","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2514530580","https://openalex.org/W2588293823","https://openalex.org/W2617378603","https://openalex.org/W2892137778","https://openalex.org/W2895547478","https://openalex.org/W2896457183","https://openalex.org/W2899750879","https://openalex.org/W2915778496","https://openalex.org/W2927865187","https://openalex.org/W2955073982","https://openalex.org/W2963341956","https://openalex.org/W2975284020","https://openalex.org/W2980718707","https://openalex.org/W2995942567","https://openalex.org/W2998446468","https://openalex.org/W3099190990","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W3124943098","https://openalex.org/W4308112567","https://openalex.org/W1807784185","https://openalex.org/W3162132941","https://openalex.org/W4390905871","https://openalex.org/W3202800081","https://openalex.org/W3128189270","https://openalex.org/W1909207154","https://openalex.org/W3124390867"],"abstract_inverted_index":{"Aspect-based":[0],"sentiment":[1,10,35,56,72],"analysis":[2,36,57],"can":[3],"help":[4],"consumers":[5],"provide":[6],"clear":[7],"and":[8,17,31,47,84,96,117,122],"objective":[9],"recommendations":[11],"through":[12],"massive":[13],"amounts":[14],"of":[15,33,107,135],"data":[16],"is":[18,68,94,101],"conducive":[19],"to":[20,53,70,110,119,123],"overcoming":[21],"ambiguous":[22],"human":[23],"weaknesses":[24],"in":[25,87],"subjective":[26],"judgments.":[27],"However,":[28],"the":[29,65,81,105,112,129,136],"robustness":[30],"accuracy":[32],"existing":[34],"methods":[37],"must":[38],"still":[39],"be":[40],"improved.":[41],"In":[42],"this":[43],"article,":[44],"deep":[45],"learning":[46,49,62,109,126],"machine":[48,125],"techniques":[50],"are":[51,80],"combined":[52],"construct":[54],"a":[55,71,91,140],"model":[58,67,93,100],"based":[59,103,127],"on":[60,104,128],"ensemble":[61,98,108],"ideas.":[63],"Furthermore,":[64],"proposed":[66,102],"applied":[69],"classification":[73],"for":[74],"user":[75],"reviews":[76],"about":[77],"restaurants,":[78],"which":[79],"representative":[82],"location-based":[83],"user-oriented":[85],"applications":[86],"5G":[88],"networks.":[89],"Specifically,":[90],"multi-aspect-labeling":[92],"established,":[95],"an":[97],"aspect-based":[99],"concept":[106],"predict":[111],"consumer's":[113],"true":[114],"consumption":[115],"feelings":[116],"willingness":[118],"consume":[120],"again,":[121],"improve":[124],"developed":[130],"model.":[131],"The":[132],"predictive":[133],"performance":[134],"algorithm":[137],"lies":[138],"within":[139],"single":[141],"domain.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
