{"id":"https://openalex.org/W2886759456","doi":"https://doi.org/10.3390/info9080198","title":"Aspect Term Extraction Based on MFE-CRF","display_name":"Aspect Term Extraction Based on MFE-CRF","publication_year":2018,"publication_date":"2018-08-03","ids":{"openalex":"https://openalex.org/W2886759456","doi":"https://doi.org/10.3390/info9080198","mag":"2886759456"},"language":"en","primary_location":{"id":"doi:10.3390/info9080198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9080198","pdf_url":"https://www.mdpi.com/2078-2489/9/8/198/pdf?version=1533292623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2078-2489/9/8/198/pdf?version=1533292623","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089105256","display_name":"Yanmin Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Xiang","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha 410000, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102666744","display_name":"Hongye He","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongye He","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha 410000, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100586108","display_name":"Jin Zheng","orcid":"https://orcid.org/0000-0003-1507-2544"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jin Zheng","raw_affiliation_strings":["School of Information Science and Engineering, Central South University, Changsha 410000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Central South University, Changsha 410000, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100586108"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.8459,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80468963,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"9","issue":"8","first_page":"198","last_page":"198"},"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":0.9983000159263611,"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":0.9911999702453613,"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":0.7561147809028625},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7171558141708374},{"id":"https://openalex.org/keywords/conditional-random-field","display_name":"Conditional random field","score":0.6796630620956421},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6536664366722107},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6217250823974609},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5751634836196899},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5475578904151917},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5199741125106812},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4914666414260864},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4912039637565613},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4731242060661316},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4602782428264618},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4143761992454529},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3952328860759735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14516347646713257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7561147809028625},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7171558141708374},{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.6796630620956421},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6536664366722107},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6217250823974609},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5751634836196899},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5475578904151917},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5199741125106812},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4914666414260864},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4912039637565613},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4731242060661316},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4602782428264618},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4143761992454529},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3952328860759735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14516347646713257},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":3,"locations":[{"id":"doi:10.3390/info9080198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9080198","pdf_url":"https://www.mdpi.com/2078-2489/9/8/198/pdf?version=1533292623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:56b0949f3cc7479ba220cda7451fd68d","is_oa":true,"landing_page_url":"https://doaj.org/article/56b0949f3cc7479ba220cda7451fd68d","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":"Information, Vol 9, Iss 8, p 198 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2078-2489/9/8/198/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/info9080198","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/info9080198","is_oa":true,"landing_page_url":"https://doi.org/10.3390/info9080198","pdf_url":"https://www.mdpi.com/2078-2489/9/8/198/pdf?version=1533292623","source":{"id":"https://openalex.org/S4210219776","display_name":"Information","issn_l":"2078-2489","issn":["2078-2489"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G6331223973","display_name":null,"funder_award_id":"61379109","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2886759456.pdf","grobid_xml":"https://content.openalex.org/works/W2886759456.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W980276176","https://openalex.org/W1517771839","https://openalex.org/W1549517954","https://openalex.org/W1600864546","https://openalex.org/W1614298861","https://openalex.org/W1977556410","https://openalex.org/W2043290945","https://openalex.org/W2061827015","https://openalex.org/W2096141509","https://openalex.org/W2117643817","https://openalex.org/W2136140395","https://openalex.org/W2147880316","https://openalex.org/W2148034183","https://openalex.org/W2153579005","https://openalex.org/W2251385138","https://openalex.org/W2251648804","https://openalex.org/W2252024663","https://openalex.org/W2272031392","https://openalex.org/W2462290672","https://openalex.org/W2469885001","https://openalex.org/W2554987092","https://openalex.org/W2567722024","https://openalex.org/W2601148979","https://openalex.org/W2604205681","https://openalex.org/W2618843390","https://openalex.org/W2791707061","https://openalex.org/W2792059071","https://openalex.org/W2943275994","https://openalex.org/W4211186029","https://openalex.org/W6625699879","https://openalex.org/W6644682428","https://openalex.org/W6736960337","https://openalex.org/W6738429036","https://openalex.org/W6843697513"],"related_works":["https://openalex.org/W2356597680","https://openalex.org/W2093471820","https://openalex.org/W50079190","https://openalex.org/W2114846443","https://openalex.org/W3102147106","https://openalex.org/W2111726165","https://openalex.org/W2347460059","https://openalex.org/W4286432911","https://openalex.org/W3093943447","https://openalex.org/W3200224724"],"abstract_inverted_index":{"This":[0,25],"paper":[1,26],"is":[2,14,57,149,157],"focused":[3],"on":[4,36,118],"aspect":[5,48,113],"term":[6,49,114],"extraction":[7,50],"in":[8,20,51],"aspect-based":[9],"sentiment":[10],"analysis":[11],"(ABSA),":[12],"which":[13],"one":[15],"of":[16,47,88,94,110,124,129,141,155],"the":[17,37,45,61,72,85,91,102,108,122,138,145,153],"hot":[18],"spots":[19],"natural":[21],"language":[22],"processing":[23],"(NLP).":[24],"proposes":[27],"MFE-CRF":[28,134],"that":[29,133],"introduces":[30],"Multi-Feature":[31,54],"Embedding":[32,55],"(MFE)":[33,56],"clustering":[34,82,92],"based":[35],"Conditional":[38],"Random":[39],"Field":[40],"(CRF)":[41],"model":[42,109],"to":[43,59,77,83,106],"improve":[44,60,137],"effect":[46],"ABSA.":[52],"First,":[53],"proposed":[58],"text":[62,156],"representation":[63],"and":[64,80,96],"capture":[65],"more":[66],"semantic":[67],"information":[68],"from":[69],"text.":[70],"Then":[71],"authors":[73],"use":[74],"kmeans++":[75],"algorithm":[76],"obtain":[78],"MFE":[79,95],"word":[81,97],"enrich":[84],"position":[86,104],"features":[87,105],"CRF.":[89],"Finally,":[90],"classes":[93],"embedding":[98],"are":[99],"set":[100],"as":[101],"additional":[103],"train":[107],"CRF":[111,142],"for":[112],"extraction.":[115],"The":[116,127],"experiments":[117],"SemEval":[119],"datasets":[120],"validate":[121],"effectiveness":[123],"this":[125],"model.":[126,143],"results":[128],"different":[130],"models":[131],"indicate":[132],"can":[135],"greatly":[136],"Recall":[139],"rate":[140,147],"Additionally,":[144],"Precision":[146],"also":[148],"increased":[150],"obviously":[151],"when":[152],"semantics":[154],"complex.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}