{"id":"https://openalex.org/W2771429639","doi":"https://doi.org/10.1109/icacci.2017.8125914","title":"Document summarization using dictionary learning","display_name":"Document summarization using dictionary learning","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2771429639","doi":"https://doi.org/10.1109/icacci.2017.8125914","mag":"2771429639"},"language":"en","primary_location":{"id":"doi:10.1109/icacci.2017.8125914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","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/A5044819555","display_name":"Remya R.K. Menon","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Remya R K Menon","raw_affiliation_strings":["Dept.of Computer Science and Applications Amrita School of Engineering, Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept.of Computer Science and Applications Amrita School of Engineering, Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084487168","display_name":"N. Aswathy","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"N. Aswathy","raw_affiliation_strings":["Dept.of Computer Science and Applications Amrita School of Engineering, Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept.of Computer Science and Applications Amrita School of Engineering, Amritapuri Amrita Vishwa Vidyapeetham Amrita University, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":0.6195,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78204399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"32","issue":null,"first_page":"645","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9994999766349792,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9973000288009644,"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":0.9943000078201294,"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":0.8382737040519714},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.837590217590332},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5574213862419128},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5284026861190796},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.5137413740158081},{"id":"https://openalex.org/keywords/neural-coding","display_name":"Neural coding","score":0.5054330825805664},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5004668235778809},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48270177841186523},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48190027475357056},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.4609295725822449},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.4486277401447296},{"id":"https://openalex.org/keywords/dictionary-learning","display_name":"Dictionary learning","score":0.41305696964263916},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.19644248485565186}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8382737040519714},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.837590217590332},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5574213862419128},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5284026861190796},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.5137413740158081},{"id":"https://openalex.org/C77637269","wikidata":"https://www.wikidata.org/wiki/Q7002051","display_name":"Neural coding","level":2,"score":0.5054330825805664},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5004668235778809},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48270177841186523},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48190027475357056},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.4609295725822449},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.4486277401447296},{"id":"https://openalex.org/C2988886741","wikidata":"https://www.wikidata.org/wiki/Q25304494","display_name":"Dictionary learning","level":3,"score":0.41305696964263916},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.19644248485565186},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icacci.2017.8125914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icacci.2017.8125914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1512874001","https://openalex.org/W1836005856","https://openalex.org/W1991937916","https://openalex.org/W2000769684","https://openalex.org/W2115549875","https://openalex.org/W2148710303","https://openalex.org/W2160547390","https://openalex.org/W2177844813","https://openalex.org/W2251384446","https://openalex.org/W2274195890","https://openalex.org/W2281052917","https://openalex.org/W2547215656","https://openalex.org/W2598931156"],"related_works":["https://openalex.org/W1971373099","https://openalex.org/W2161305109","https://openalex.org/W2244609343","https://openalex.org/W2364118486","https://openalex.org/W2793063187","https://openalex.org/W2026350744","https://openalex.org/W2030972733","https://openalex.org/W3012953444","https://openalex.org/W2008821896","https://openalex.org/W204290405"],"abstract_inverted_index":{"Document":[0,82],"summarization":[1],"is":[2,75,135],"a":[3,29,34,63],"strategy,":[4],"intended":[5],"to":[6],"extract":[7],"information":[8,40],"from":[9,28,43],"multiple":[10,44],"documents,":[11,32],"deliberating":[12],"the":[13,25,59,92,120,123,131,139,142],"same":[14],"subject.":[15],"Many":[16],"software":[17],"applications":[18],"handle":[19],"document":[20],"summarization,":[21,83],"helping":[22],"people":[23],"grab":[24],"main":[26],"thought,":[27],"collection":[30],"of":[31,61,94,98,117,122,128,146],"within":[33],"short":[35,64],"time.":[36],"Automatic":[37],"summaries":[38],"present":[39],"algorithmically":[41],"extracted":[42],"sources,":[45],"without":[46],"any":[47],"impressionistic":[48],"human":[49],"intervention":[50],"mediation.":[51],"Experiments":[52],"have":[53,150],"resulted":[54],"in":[55,72,130,137,141],"ingenious":[56],"algorithms,":[57],"surmount":[58],"task":[60],"creating":[62],"and":[65,87,96,108],"salient":[66],"summary.":[67,125,144],"One":[68],"such":[69],"technique":[70],"suggested":[71],"this":[73],"paper":[74,79],"Dictionary":[76],"Learning.":[77],"This":[78],"focuses":[80],"on":[81],"using":[84],"dictionary":[85,106],"learning":[86,107],"sparse":[88,113,133],"coding":[89],"techniques,":[90],"considering":[91],"ordering":[93,138],"sentences":[95,140],"redundancy":[97],"documents.":[99],"We":[100],"use":[101],"Singular":[102],"Value":[103],"Decomposition(SVD)":[104],"for":[105,112],"Orthogonal":[109],"Matching":[110],"Pursuit(OMP)":[111],"coding.":[114],"The":[115,126],"application":[116],"SVD":[118],"augments":[119],"semantics":[121],"generated":[124],"order":[127],"sparsity":[129],"final":[132,143],"code":[134],"used":[136],"Verification":[145],"our":[147],"proposed":[148],"methodology":[149],"shown":[151],"75%":[152],"precision.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}