{"id":"https://openalex.org/W2035410410","doi":"https://doi.org/10.1145/1655925.1655956","title":"PhraseRank for document clustering","display_name":"PhraseRank for document clustering","publication_year":2009,"publication_date":"2009-11-24","ids":{"openalex":"https://openalex.org/W2035410410","doi":"https://doi.org/10.1145/1655925.1655956","mag":"2035410410"},"language":"en","primary_location":{"id":"doi:10.1145/1655925.1655956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1655925.1655956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human","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/A5101714873","display_name":"Yoon-Ho Cho","orcid":"https://orcid.org/0000-0003-1951-4522"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yoon-Ho Cho","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322284","display_name":"Sanghyun Park","orcid":"https://orcid.org/0000-0003-3760-4177"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sang-Hyun Park","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101595608","display_name":"SangKeun Lee","orcid":"https://orcid.org/0000-0002-6249-8217"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"SangKeun Lee","raw_affiliation_strings":["Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09461224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"168","last_page":"174"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9857000112533569,"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/T11106","display_name":"Data Management and Algorithms","score":0.9793999791145325,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/cluster-analysis","display_name":"Cluster analysis","score":0.7969754934310913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7126625776290894},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.7085181474685669},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.6890192031860352},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.6257309317588806},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6213369369506836},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5729439854621887},{"id":"https://openalex.org/keywords/brown-clustering","display_name":"Brown clustering","score":0.5717145204544067},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5480530261993408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4958997666835785},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.43297138810157776},{"id":"https://openalex.org/keywords/single-linkage-clustering","display_name":"Single-linkage clustering","score":0.4318263530731201},{"id":"https://openalex.org/keywords/correlation-clustering","display_name":"Correlation clustering","score":0.42164158821105957},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39494526386260986},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3359169363975525},{"id":"https://openalex.org/keywords/canopy-clustering-algorithm","display_name":"Canopy clustering algorithm","score":0.27817827463150024}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7969754934310913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7126625776290894},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.7085181474685669},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.6890192031860352},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.6257309317588806},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6213369369506836},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5729439854621887},{"id":"https://openalex.org/C167984511","wikidata":"https://www.wikidata.org/wiki/Q17003931","display_name":"Brown clustering","level":5,"score":0.5717145204544067},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5480530261993408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4958997666835785},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.43297138810157776},{"id":"https://openalex.org/C22648726","wikidata":"https://www.wikidata.org/wiki/Q7523744","display_name":"Single-linkage clustering","level":5,"score":0.4318263530731201},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.42164158821105957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39494526386260986},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3359169363975525},{"id":"https://openalex.org/C104047586","wikidata":"https://www.wikidata.org/wiki/Q5033439","display_name":"Canopy clustering algorithm","level":4,"score":0.27817827463150024},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1655925.1655956","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1655925.1655956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3639016179","display_name":null,"funder_award_id":"2009-0077925","funder_id":"https://openalex.org/F4320322349","funder_display_name":"Ministry of Education, Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W61501806","https://openalex.org/W260234060","https://openalex.org/W1575115908","https://openalex.org/W1854214752","https://openalex.org/W2000982728","https://openalex.org/W2046878543","https://openalex.org/W2071664212","https://openalex.org/W2100958137","https://openalex.org/W2137763598","https://openalex.org/W2150102617","https://openalex.org/W2155531122","https://openalex.org/W2158018156","https://openalex.org/W6602469066"],"related_works":["https://openalex.org/W2130194910","https://openalex.org/W2087424554","https://openalex.org/W2384052049","https://openalex.org/W2189374779","https://openalex.org/W1981213098","https://openalex.org/W2161927371","https://openalex.org/W4231226332","https://openalex.org/W2367205823","https://openalex.org/W2379907417","https://openalex.org/W2605148547"],"abstract_inverted_index":{"Given":[0],"a":[1,4,39],"document":[2,25,40],"collection,":[3],"hierarchical":[5,24,62],"clustering":[6,63],"algorithm":[7],"groups":[8],"several":[9],"clusters.":[10],"Recent":[11],"works":[12],"have":[13],"identified":[14],"the":[15,32,71,74,86,103],"set":[16],"of":[17,43,77,105],"overlap":[18,36,47,83,91],"phrases":[19,37,79,92],"as":[20],"useful":[21],"features":[22,69],"in":[23,38,70],"clustering.":[26,106],"However,":[27],"they":[28],"did":[29],"not":[30],"consider":[31],"relationship":[33],"between":[34,46,89],"co-occurred":[35],"and":[41,85],"degrees":[42],"opposite":[44,87],"relationships":[45],"phrases.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52],"propose":[53],"new":[54],"algorithms":[55],"for":[56,80],"effective":[57],"similarity":[58],"measure":[59],"before":[60],"working":[61],"algorithm.":[64],"There":[65],"are":[66],"two":[67,90],"important":[68],"proposed":[72,100],"methods:":[73],"ranking":[75],"list":[76],"top-k":[78],"each":[81,94],"particular":[82],"phrase":[84],"significances":[88],"with":[93],"other.":[95],"Experiment":[96],"result":[97],"shows":[98],"that":[99],"method":[101],"improves":[102],"results":[104]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}