{"id":"https://openalex.org/W2796254167","doi":"https://doi.org/10.1109/tkde.2018.2823758","title":"An Efficient Method for High Quality and Cohesive Topical Phrase Mining","display_name":"An Efficient Method for High Quality and Cohesive Topical Phrase Mining","publication_year":2018,"publication_date":"2018-04-06","ids":{"openalex":"https://openalex.org/W2796254167","doi":"https://doi.org/10.1109/tkde.2018.2823758","mag":"2796254167"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2018.2823758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2823758","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","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/A5100451251","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-1875-2919"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]"],"raw_orcid":"https://orcid.org/0000-0002-1875-2919","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079763362","display_name":"Xiaochun Yang","orcid":"https://orcid.org/0000-0002-6184-4771"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Yang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]"],"raw_orcid":"https://orcid.org/0000-0002-6184-4771","affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032749574","display_name":"Rui Zhou","orcid":"https://orcid.org/0000-0001-6807-4362"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Rui Zhou","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia","[Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"[Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia]","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100372342","display_name":"Bin Wang","orcid":"https://orcid.org/0000-0002-2694-1023"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"[School of Computer Science and Engineering, Northeastern University, Shenyang, Liaoning, China]","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028546502","display_name":"Chengfei Liu","orcid":"https://orcid.org/0000-0003-1675-1389"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chengfei Liu","raw_affiliation_strings":["Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia","[Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]},{"raw_affiliation_string":"[Department of Computer Science and Software Engineering, Swinburne University of Technology, Melbourne, VIC, Australia]","institution_ids":["https://openalex.org/I57093077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049750015","display_name":"Yanchun Zhang","orcid":"https://orcid.org/0000-0002-5094-5980"},"institutions":[{"id":"https://openalex.org/I71270174","display_name":"Victoria University","ror":"https://ror.org/04j757h98","country_code":"AU","type":"education","lineage":["https://openalex.org/I71270174"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yanchun Zhang","raw_affiliation_strings":["Centre for Applied Informatics, Victoria University, Melbourne, VIC, Australia","Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5094-5980","affiliations":[{"raw_affiliation_string":"Centre for Applied Informatics, Victoria University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]},{"raw_affiliation_string":"Centre for Applied Informatics, College of Engineering and Science, Victoria University, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I71270174"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9483,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92849018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"31","issue":"1","first_page":"120","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9997000098228455,"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":0.9994000196456909,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9979000091552734,"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/computer-science","display_name":"Computer science","score":0.8525424003601074},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7965576648712158},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.6257566213607788},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6237068176269531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5445618033409119},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.47456222772598267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35067063570022583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525424003601074},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7965576648712158},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.6257566213607788},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6237068176269531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5445618033409119},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.47456222772598267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35067063570022583},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tkde.2018.2823758","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2018.2823758","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:eprints.vu.edu.au:37148","is_oa":false,"landing_page_url":"https://vuir.vu.edu.au/37148/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400215","display_name":"Victoria University Research Repository (Victoria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41156924","host_organization_name":"Victoria University of Wellington","host_organization_lineage":["https://openalex.org/I41156924"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:digital.library.adelaide.edu.au:2440/123956","is_oa":false,"landing_page_url":"http://hdl.handle.net/2440/123956","pdf_url":null,"source":{"id":"https://openalex.org/S4306401835","display_name":"Adelaide Research & Scholarship (AR&S) (University of Adelaide)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5681781","host_organization_name":"The University of Adelaide","host_organization_lineage":["https://openalex.org/I5681781"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://dx.doi.org/10.1109/tkde.2018.2823758","raw_type":"Journal article"},{"id":"pmh:oai:researchbank.swinburne.edu.au:23c47953-5c07-4ea2-9844-2d805593faff/1","is_oa":false,"landing_page_url":"http://hdl.handle.net/1959.3/443063","pdf_url":null,"source":{"id":"https://openalex.org/S4306401157","display_name":"Swinburne Research Bank (Swinburne University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I57093077","host_organization_name":"Swinburne University of Technology","host_organization_lineage":["https://openalex.org/I57093077"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering, Vol. 31, no. 1 (Jan 2019), pp. 120-137","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G3038546938","display_name":null,"funder_award_id":"201606080078","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"},{"id":"https://openalex.org/G3456504994","display_name":null,"funder_award_id":"U1736104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3704501742","display_name":null,"funder_award_id":"61532021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6725718805","display_name":null,"funder_award_id":"61572122","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/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W112288907","https://openalex.org/W1512874001","https://openalex.org/W1521439890","https://openalex.org/W1564649749","https://openalex.org/W1878153963","https://openalex.org/W1965555277","https://openalex.org/W1988059434","https://openalex.org/W2001082470","https://openalex.org/W2006636107","https://openalex.org/W2020999234","https://openalex.org/W2040810008","https://openalex.org/W2041590596","https://openalex.org/W2049107599","https://openalex.org/W2060772621","https://openalex.org/W2061271742","https://openalex.org/W2069079548","https://openalex.org/W2081687495","https://openalex.org/W2097125878","https://openalex.org/W2097394335","https://openalex.org/W2098162425","https://openalex.org/W2104210067","https://openalex.org/W2109189215","https://openalex.org/W2116410915","https://openalex.org/W2119864770","https://openalex.org/W2123061032","https://openalex.org/W2127492100","https://openalex.org/W2150815390","https://openalex.org/W2156515921","https://openalex.org/W2158952118","https://openalex.org/W2159426623","https://openalex.org/W2165835468","https://openalex.org/W2169606435","https://openalex.org/W2223881431","https://openalex.org/W2407111606","https://openalex.org/W2470689967","https://openalex.org/W2566384245","https://openalex.org/W2605024074","https://openalex.org/W4232627933","https://openalex.org/W4315852452","https://openalex.org/W6630634684","https://openalex.org/W6631328736","https://openalex.org/W6639402488","https://openalex.org/W6671280235","https://openalex.org/W6674775710","https://openalex.org/W6683333316","https://openalex.org/W6683712026","https://openalex.org/W6731303735","https://openalex.org/W6736135106","https://openalex.org/W6814786182"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"A":[0,136],"phrase":[1,31,51,55,61,134,139,155,180],"is":[2,18,53],"a":[3,158,168],"natural,":[4],"meaningful,":[5],"and":[6,24,33,57,70,131,145,167,182,213],"essential":[7],"semantic":[8],"unit.":[9],"In":[10,120,148],"topic":[11,58,83,86,160],"modeling,":[12,84],"visualizing":[13],"phrases":[14],"for":[15,128],"individual":[16],"topics":[17],"an":[19,125,174],"effective":[20],"way":[21],"to":[22,43,177,191],"explore":[23],"understand":[25],"unstructured":[26],"text":[27],"corpora.":[28],"However,":[29],"from":[30,67,107,207],"quality":[32,80,130,138,153,181],"topical":[34,50,118,133,183],"cohesion":[35],"perspectives,":[36],"the":[37,47,92,100,114,163,204,208],"outcomes":[38],"of":[39,49,116,165,210],"existing":[40,63,103],"approaches":[41,64,104],"remain":[42],"be":[44],"improved.":[45],"Usually,":[46],"process":[48],"mining":[52,56,156],"twofold:":[54],"modeling.":[59],"For":[60,82],"mining,":[62],"often":[65,77,105],"suffer":[66,106],"order":[68],"sensitive":[69],"inappropriate":[71],"segmentation":[72],"problems,":[73],"which":[74,97],"make":[75],"them":[76],"extract":[78],"inferior":[79],"phrases.":[81],"traditional":[85],"models":[87],"do":[88],"not":[89],"fully":[90],"consider":[91],"constraints":[93],"induced":[94],"by":[95],"phrases,":[96,166],"may":[98],"weaken":[99],"cohesion.":[101,184],"Moreover,":[102],"losing":[108],"domain":[109],"terminologies":[110],"since":[111],"they":[112],"neglect":[113],"impact":[115],"domain-level":[117],"distribution.":[119],"this":[121],"paper,":[122],"we":[123,151],"propose":[124],"efficient":[126,188],"method":[127,172,202],"high":[129,137],"cohesive":[132],"mining.":[135],"should":[140],"satisfy":[141],"frequency,":[142],"phraseness,":[143],"completeness,":[144],"appropriateness":[146],"criteria.":[147],"our":[149,201],"framework,":[150],"integrate":[152],"guaranteed":[154],"method,":[157],"novel":[159,169],"model":[161],"incorporating":[162],"constraint":[164],"document":[170],"clustering":[171],"into":[173],"iterative":[175],"framework":[176],"improve":[178],"both":[179,211],"We":[185],"also":[186],"describe":[187],"algorithmic":[189],"designs":[190],"execute":[192],"these":[193],"methods":[194,206],"efficiently.":[195],"The":[196],"empirical":[197],"verification":[198],"demonstrates":[199],"that":[200],"outperforms":[203],"state-of-the-art":[205],"aspects":[209],"interpretability":[212],"efficiency.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
