{"id":"https://openalex.org/W3033140201","doi":"https://doi.org/10.1109/access.2020.2999673","title":"Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation","display_name":"Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3033140201","doi":"https://doi.org/10.1109/access.2020.2999673","mag":"3033140201"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2999673","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999673","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09107147.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09107147.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100659161","display_name":"Xuelian Li","orcid":"https://orcid.org/0000-0002-0553-8569"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelian Li","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0553-8569","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101886919","display_name":"Wang Bi","orcid":"https://orcid.org/0000-0002-4365-0148"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bi Wang","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-4365-0148","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782089","display_name":"Lixin Li","orcid":"https://orcid.org/0000-0001-9737-9894"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Li","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9737-9894","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056485034","display_name":"Zhiqiang Gao","orcid":"https://orcid.org/0000-0001-7381-9349"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Gao","raw_affiliation_strings":["Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-7381-9349","affiliations":[{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100318571","display_name":"Qian Liu","orcid":"https://orcid.org/0000-0002-7579-5683"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Liu","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-7579-5683","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004882227","display_name":"Hancheng Xu","orcid":"https://orcid.org/0000-0003-4533-6360"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hancheng Xu","raw_affiliation_strings":["International Studies College, National University of Defense Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4533-6360","affiliations":[{"raw_affiliation_string":"International Studies College, National University of Defense Technology, Nanjing, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013213053","display_name":"Lanting Fang","orcid":"https://orcid.org/0000-0002-1374-395X"},"institutions":[{"id":"https://openalex.org/I4210155350","display_name":"Purple Mountain Laboratories","ror":"https://ror.org/04zcbk583","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210155350"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanting Fang","raw_affiliation_strings":["Purple Mountain Laboratories, Nanjing, China","School of Cyber Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1374-395X","affiliations":[{"raw_affiliation_string":"Purple Mountain Laboratories, Nanjing, China","institution_ids":["https://openalex.org/I4210155350"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5645,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.86728287,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"104026","last_page":"104038"},"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":0.9993000030517578,"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":0.9950000047683716,"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":0.8762852549552917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.669852614402771},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6256190538406372},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6120775938034058},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5815948247909546},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5553706884384155},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5517857670783997},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.4631006419658661},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44987574219703674},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4427056908607483},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06429579854011536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8762852549552917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.669852614402771},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6256190538406372},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6120775938034058},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5815948247909546},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5553706884384155},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5517857670783997},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.4631006419658661},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44987574219703674},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4427056908607483},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06429579854011536},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2999673","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999673","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09107147.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:68ef0ff53e7c4404bf7bb6945a78b279","is_oa":true,"landing_page_url":"https://doaj.org/article/68ef0ff53e7c4404bf7bb6945a78b279","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 104026-104038 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2999673","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2999673","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09107147.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5458418367","display_name":null,"funder_award_id":"61702279","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7122857852","display_name":null,"funder_award_id":"61502095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8687451867","display_name":null,"funder_award_id":"61602260","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033140201.pdf","grobid_xml":"https://content.openalex.org/works/W3033140201.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W655477013","https://openalex.org/W1672891595","https://openalex.org/W1875972884","https://openalex.org/W1991819034","https://openalex.org/W2049493498","https://openalex.org/W2108646579","https://openalex.org/W2117176186","https://openalex.org/W2125247664","https://openalex.org/W2149837184","https://openalex.org/W2159457224","https://openalex.org/W2160660844","https://openalex.org/W2234079371","https://openalex.org/W2251160286","https://openalex.org/W2252123671","https://openalex.org/W2293174806","https://openalex.org/W2337835951","https://openalex.org/W2427312199","https://openalex.org/W2466573295","https://openalex.org/W2510668267","https://openalex.org/W2605435278","https://openalex.org/W2621537751","https://openalex.org/W2739677115","https://openalex.org/W2739952768","https://openalex.org/W2746547352","https://openalex.org/W2787901052","https://openalex.org/W2788673320","https://openalex.org/W2791707061","https://openalex.org/W2885736909","https://openalex.org/W2888912028","https://openalex.org/W2892094955","https://openalex.org/W2896774156","https://openalex.org/W2916721475","https://openalex.org/W2923280274","https://openalex.org/W2949145155","https://openalex.org/W2949889664","https://openalex.org/W2962741379","https://openalex.org/W2962843214","https://openalex.org/W2963556938","https://openalex.org/W2963862093","https://openalex.org/W2964059932","https://openalex.org/W2964160783","https://openalex.org/W2965510113","https://openalex.org/W2969261967","https://openalex.org/W2998446468","https://openalex.org/W3099405210","https://openalex.org/W4211186029","https://openalex.org/W6621780217","https://openalex.org/W6637298476","https://openalex.org/W6677617502","https://openalex.org/W6678758883","https://openalex.org/W6689798819","https://openalex.org/W6691329670","https://openalex.org/W6712608028","https://openalex.org/W6725474846","https://openalex.org/W6738929303","https://openalex.org/W6748069227","https://openalex.org/W6748436339","https://openalex.org/W6769651288"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W4375867731","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W2375873920","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W2146114872"],"abstract_inverted_index":{"Syntactical":[0],"rule":[1],"based":[2],"approaches":[3,19],"for":[4,49],"aspect":[5,45,87,162],"extraction,":[6,46],"which":[7,41],"are":[8,14,132],"free":[9],"from":[10],"expensive":[11],"manual":[12],"annotation,":[13],"promising":[15],"in":[16,27,39,115,164],"practice.":[17],"These":[18],"extract":[20],"aspects":[21],"mainly":[22],"through":[23],"the":[24,28,57,69,84,108,116,122,146,153,159],"dependency":[25,113],"relations":[26,114],"surface":[29,117],"sentence":[30],"structures.":[31],"However,":[32],"deep":[33,72,91,127,149],"and":[34,152],"rich":[35],"semantic":[36,73,92,123,128,150],"information":[37],"hidden":[38],"sentences":[40],"can":[42,104],"help":[43],"improve":[44,83,158],"is":[47],"difficult":[48],"them":[50],"to":[51,55,63,67,82,111,125,157],"capture.":[52],"In":[53],"order":[54],"address":[56],"problem,":[58],"this":[59],"paper":[60],"first":[61],"proposes":[62,76],"employ":[64],"Logic":[65],"Programming":[66],"explore":[68],"feasibility":[70],"of":[71,86,107,148,155,161],"representation,":[74],"then":[75],"Deep2S,":[77],"a":[78],"hybrid":[79],"rule-based":[80],"method":[81],"performance":[85,160],"extraction.":[88],"Deep2S":[89,156],"integrates":[90],"representation":[93,151],"such":[94],"as":[95,119,121],"Abstract":[96],"Meaning":[97],"Representation":[98],"(AMR)":[99],"with":[100],"syntactic":[101],"structure.":[102],"It":[103],"take":[105],"advantage":[106],"syntactical":[109],"rules":[110,124],"obtain":[112],"structure":[118],"well":[120],"capture":[126],"information.":[129],"Our":[130],"experiments":[131],"conducted":[133],"on":[134],"eight":[135],"popular":[136],"review":[137],"datasets":[138],"using":[139],"two":[140],"evaluation":[141],"metrics.":[142],"Experimental":[143],"results":[144],"demonstrate":[145],"usefulness":[147],"ability":[154],"extraction":[163],"opinion":[165],"mining.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}