{"id":"https://openalex.org/W2546644404","doi":"https://doi.org/10.1145/2980258.2980463","title":"Rake-Pmi Automated Keyphrase Extraction","display_name":"Rake-Pmi Automated Keyphrase Extraction","publication_year":2016,"publication_date":"2016-08-25","ids":{"openalex":"https://openalex.org/W2546644404","doi":"https://doi.org/10.1145/2980258.2980463","mag":"2546644404"},"language":"en","primary_location":{"id":"doi:10.1145/2980258.2980463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5057065498","display_name":"Somya Gupta","orcid":"https://orcid.org/0000-0001-9739-455X"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Somya Gupta","raw_affiliation_strings":["Malaviya National Institute of Technology, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077747165","display_name":"Namita Mittal","orcid":"https://orcid.org/0000-0001-6886-9974"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Namita Mittal","raw_affiliation_strings":["Malaviya National Institute of Technology, Jaipur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, Jaipur, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052922969","display_name":"Alok Kumar","orcid":"https://orcid.org/0000-0001-6417-653X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alok Kumar","raw_affiliation_strings":["Morgan Stanley, Bengaluru, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Morgan Stanley, Bengaluru, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.8472809791564941},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.7425070405006409},{"id":"https://openalex.org/keywords/rake","display_name":"Rake","score":0.6864679455757141},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.6807111501693726},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6777535676956177},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6352884769439697},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5689540505409241},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5592589974403381},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.4950503408908844},{"id":"https://openalex.org/keywords/keyword-extraction","display_name":"Keyword extraction","score":0.4897322654724121},{"id":"https://openalex.org/keywords/collocation","display_name":"Collocation (remote sensing)","score":0.4846542477607727},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47812119126319885},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.4291284382343292},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.25127363204956055},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2348085641860962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08830222487449646}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8472809791564941},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.7425070405006409},{"id":"https://openalex.org/C2778855872","wikidata":"https://www.wikidata.org/wiki/Q7286559","display_name":"Rake","level":2,"score":0.6864679455757141},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.6807111501693726},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6777535676956177},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6352884769439697},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5689540505409241},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5592589974403381},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.4950503408908844},{"id":"https://openalex.org/C2780288562","wikidata":"https://www.wikidata.org/wiki/Q25053353","display_name":"Keyword extraction","level":2,"score":0.4897322654724121},{"id":"https://openalex.org/C80023036","wikidata":"https://www.wikidata.org/wiki/Q5147531","display_name":"Collocation (remote sensing)","level":2,"score":0.4846542477607727},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47812119126319885},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.4291284382343292},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.25127363204956055},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2348085641860962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08830222487449646},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2980258.2980463","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2980258.2980463","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Informatics and Analytics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1486865875","https://openalex.org/W1525595230","https://openalex.org/W1532325895","https://openalex.org/W1593045043","https://openalex.org/W1854214752","https://openalex.org/W1907578970","https://openalex.org/W1976975519","https://openalex.org/W2001395945","https://openalex.org/W2045181608","https://openalex.org/W2060772621","https://openalex.org/W2133286915","https://openalex.org/W2145766604","https://openalex.org/W2169602691","https://openalex.org/W2251295945","https://openalex.org/W2950982165","https://openalex.org/W4213009331","https://openalex.org/W4233428711","https://openalex.org/W6603330179","https://openalex.org/W6628983414","https://openalex.org/W6639055396","https://openalex.org/W6639689704","https://openalex.org/W6650798201","https://openalex.org/W6685063089","https://openalex.org/W7015831105"],"related_works":["https://openalex.org/W2133286915","https://openalex.org/W2413032504","https://openalex.org/W4255212084","https://openalex.org/W2912310137","https://openalex.org/W2127863960","https://openalex.org/W3104809419","https://openalex.org/W2913800689","https://openalex.org/W3094176136","https://openalex.org/W2888955267","https://openalex.org/W2005708814"],"abstract_inverted_index":{"Keyphrase":[0],"extraction":[1],"is":[2,7,31,77],"a":[3,55,75,108,124],"major":[4],"step":[5],"which":[6,59],"used":[8],"in":[9,74,100],"various":[10],"applications":[11],"such":[12],"as":[13,23,25,128],"document":[14],"clustering,":[15],"summarization.":[16],"It":[17],"can":[18],"be":[19],"solved":[20],"using":[21],"supervised":[22],"well":[24],"unsupervised":[26,29],"approach.":[27],"The":[28],"approach":[30,113],"based":[32],"on":[33],"the":[34,40,80,89,95,102,117,131,139],"ranking":[35,64],"of":[36,65,71,85,105,116,126,133],"keyphrases":[37],"and":[38,122],"extracting":[39],"top":[41],"few.":[42],"For":[43,83],"ranking,":[44],"researchers":[45],"either":[46],"use":[47],"statistical":[48],"measures":[49],"or":[50],"language":[51,81],"modeling.":[52,82],"We":[53,110],"propose":[54],"system":[56],"called":[57,120],"RAKE-PMI,":[58],"uses":[60],"both":[61],"approaches":[62],"for":[63,138],"phrases.":[66],"PointWise":[67],"Mutual":[68],"Information(PMI)":[69],"score":[70],"adjacent":[72],"words":[73,106],"phrase":[76],"calculated":[78],"through":[79],"calculation":[84],"PMI,":[86],"we":[87],"extract":[88],"scores":[90],"from":[91,94],"keywords":[92],"extracted":[93],"entire":[96],"corpora.":[97],"This":[98],"helps":[99],"analyzing":[101],"term":[103],"collocation":[104],"within":[107],"phrase.":[109],"compared":[111,129],"proposed":[112],"with":[114],"one":[115],"popular":[118],"systems":[119],"RAKE":[121,137],"achieved":[123,135],"precision":[125,132],".41":[127],"to":[130],".36":[134],"by":[136],"given":[140],"data":[141],"set.":[142]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}