{"id":"https://openalex.org/W4403565682","doi":"https://doi.org/10.21275/sr24418110915","title":"Unsupervised Document Summarization Using Graph-based Methods","display_name":"Unsupervised Document Summarization Using Graph-based Methods","publication_year":2021,"publication_date":"2021-02-05","ids":{"openalex":"https://openalex.org/W4403565682","doi":"https://doi.org/10.21275/sr24418110915"},"language":"en","primary_location":{"id":"doi:10.21275/sr24418110915","doi":"https://doi.org/10.21275/sr24418110915","is_oa":true,"landing_page_url":"https://doi.org/10.21275/sr24418110915","pdf_url":"https://www.ijsr.net/archive/v10i2/SR24418110915.pdf","source":{"id":"https://openalex.org/S4210240710","display_name":"International Journal of Science and Research (IJSR)","issn_l":"2319-7064","issn":["2319-7064"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science and Research (IJSR)","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.ijsr.net/archive/v10i2/SR24418110915.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035273785","display_name":"Akshata Upadhye","orcid":"https://orcid.org/0000-0001-6058-6099","observed_orcids":["https://orcid.org/0000-0001-6058-6099"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Akshata Upadhye","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5035273785"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"2","first_page":"1748","last_page":"1752"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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/T10028","display_name":"Topic Modeling","score":0.00039999998989515007,"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":0.0,"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/graph-based-summarization","display_name":"graph-based summarization","score":0.9700000286102295},{"id":"https://openalex.org/keywords/sentence-extraction","display_name":"sentence extraction","score":0.6949999928474426},{"id":"https://openalex.org/keywords/graph-centrality-measures","display_name":"graph centrality","score":0.8610000014305115},{"id":"https://openalex.org/keywords/tf-idf","display_name":"TF-IDF","score":0.7099999785423279},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"latent Dirichlet allocation","score":0.9589999914169312}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8651336431503296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6244675517082214},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5361217260360718},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4973163902759552},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.4323781728744507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3879844546318054},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33937740325927734},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13124746084213257}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21275/sr24418110915","doi":"https://doi.org/10.21275/sr24418110915","is_oa":true,"landing_page_url":"https://doi.org/10.21275/sr24418110915","pdf_url":"https://www.ijsr.net/archive/v10i2/SR24418110915.pdf","source":{"id":"https://openalex.org/S4210240710","display_name":"International Journal of Science and Research (IJSR)","issn_l":"2319-7064","issn":["2319-7064"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science and Research (IJSR)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21275/sr24418110915","doi":"https://doi.org/10.21275/sr24418110915","is_oa":true,"landing_page_url":"https://doi.org/10.21275/sr24418110915","pdf_url":"https://www.ijsr.net/archive/v10i2/SR24418110915.pdf","source":{"id":"https://openalex.org/S4210240710","display_name":"International Journal of Science and Research (IJSR)","issn_l":"2319-7064","issn":["2319-7064"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Science and Research (IJSR)","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403565682.pdf","grobid_xml":"https://content.openalex.org/works/W4403565682.grobid-xml"},"referenced_works_count":1,"referenced_works":["https://openalex.org/W2894175828"],"related_works":["https://openalex.org/W3146546964","https://openalex.org/W3156544353","https://openalex.org/W4380519555","https://openalex.org/W7056906121","https://openalex.org/W6959708873","https://openalex.org/W2032797450","https://openalex.org/W4400184963","https://openalex.org/W3170130606","https://openalex.org/W4392798693","https://openalex.org/W2164597185"],"abstract_inverted_index":{"Document":[0],"summarization":[1,36,52,125],"plays":[2],"a":[3,30,39,62,86],"vital":[4],"role":[5],"in":[6,61,123,131],"Natural":[7],"Language":[8],"Processing":[9],"(NLP),":[10],"which":[11,64],"is":[12,65],"used":[13],"to":[14,102,114],"condense":[15],"extensive":[16],"textual":[17],"content":[18],"into":[19,117],"concise":[20],"versions":[21],"while":[22],"preserving":[23],"the":[24,47,79,118],"essential":[25],"information.":[26],"This":[27],"paper":[28],"offers":[29],"comprehensive":[31],"survey":[32],"of":[33,50,69,120],"unsupervised":[34],"document":[35,124],"techniques,":[37],"with":[38],"particular":[40],"emphasis":[41],"on":[42,73],"graph-based":[43,51,90,121],"methods.":[44],"We":[45],"explore":[46],"foundational":[48],"principles":[49],"and":[53,76,92,97,107,126],"illustrate":[54],"how":[55],"documents":[56],"are":[57],"represented":[58],"as":[59],"nodes":[60],"graph":[63,80],"utilized":[66],"for":[67],"extraction":[68],"crucial":[70],"sentences":[71],"based":[72],"their":[74,104],"centrality":[75],"connectivity":[77],"within":[78],"structure.":[81],"Furthermore,":[82],"we":[83,112],"also":[84],"conduct":[85],"comparative":[87],"analysis":[88],"between":[89],"methods":[91],"traditional":[93],"approaches":[94],"like":[95],"TF-IDF":[96],"Latent":[98],"Dirichlet":[99],"Allocation":[100],"(LDA)":[101],"identify":[103],"respective":[105],"strengths":[106],"limitations.":[108],"Through":[109],"this":[110,132],"exploration,":[111],"aim":[113],"provide":[115],"insights":[116],"efficacy":[119],"techniques":[122],"guide":[127],"future":[128],"research":[129],"endeavors":[130],"domain.":[133]},"counts_by_year":[],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-10-20T00:00:00"}