{"id":"https://openalex.org/W3093967929","doi":"https://doi.org/10.1109/icccnt49239.2020.9225586","title":"Similarity Analysis of Legal Documents using Content and Network Based Approach","display_name":"Similarity Analysis of Legal Documents using Content and Network Based Approach","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3093967929","doi":"https://doi.org/10.1109/icccnt49239.2020.9225586","mag":"3093967929"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt49239.2020.9225586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","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/A5024591177","display_name":"Suyash Chavan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Suyash Chavan","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011382532","display_name":"Janani Balasubramanian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Janani Balasubramanian","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008442208","display_name":"Jai Puro","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jai Puro","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104141443","display_name":"Meghana Naik","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meghana Naik","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013109134","display_name":"Anant V. Nimkar","orcid":"https://orcid.org/0000-0002-3904-2924"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anant V. Nimkar","raw_affiliation_strings":["Sardar Patel Institute of Technology, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Sardar Patel Institute of Technology, Mumbai, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5024591177"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.836,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82552342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.991599977016449,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.932200014591217,"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":0.9083999991416931,"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/similarity","display_name":"Similarity (geometry)","score":0.8289192914962769},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7002238035202026},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6674341559410095},{"id":"https://openalex.org/keywords/citation","display_name":"Citation","score":0.5746780037879944},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5548883676528931},{"id":"https://openalex.org/keywords/legal-citation","display_name":"Legal citation","score":0.5295052528381348},{"id":"https://openalex.org/keywords/legal-case","display_name":"Legal case","score":0.4747602939605713},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.440083384513855},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.4386734068393707},{"id":"https://openalex.org/keywords/citation-analysis","display_name":"Citation analysis","score":0.4112117886543274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28645357489585876},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18990033864974976},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12716206908226013},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.062403351068496704},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.06085306406021118}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8289192914962769},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002238035202026},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6674341559410095},{"id":"https://openalex.org/C2778805511","wikidata":"https://www.wikidata.org/wiki/Q1713","display_name":"Citation","level":2,"score":0.5746780037879944},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5548883676528931},{"id":"https://openalex.org/C506757014","wikidata":"https://www.wikidata.org/wiki/Q6517471","display_name":"Legal citation","level":5,"score":0.5295052528381348},{"id":"https://openalex.org/C2778049185","wikidata":"https://www.wikidata.org/wiki/Q2334719","display_name":"Legal case","level":2,"score":0.4747602939605713},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.440083384513855},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.4386734068393707},{"id":"https://openalex.org/C105345328","wikidata":"https://www.wikidata.org/wiki/Q206276","display_name":"Citation analysis","level":3,"score":0.4112117886543274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28645357489585876},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18990033864974976},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12716206908226013},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.062403351068496704},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.06085306406021118},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C177986884","wikidata":"https://www.wikidata.org/wiki/Q207892","display_name":"Public law","level":2,"score":0.0},{"id":"https://openalex.org/C75011936","wikidata":"https://www.wikidata.org/wiki/Q4122235","display_name":"Private law","level":3,"score":0.0},{"id":"https://openalex.org/C167633797","wikidata":"https://www.wikidata.org/wiki/Q4922364","display_name":"Black letter law","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt49239.2020.9225586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt49239.2020.9225586","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W40010561","https://openalex.org/W60856054","https://openalex.org/W100415715","https://openalex.org/W1098292366","https://openalex.org/W1968817294","https://openalex.org/W1986330636","https://openalex.org/W2022266816","https://openalex.org/W2078396547","https://openalex.org/W2088368771","https://openalex.org/W2136331837","https://openalex.org/W2140731916","https://openalex.org/W2146936057","https://openalex.org/W2171313960","https://openalex.org/W2240029300","https://openalex.org/W2242818087","https://openalex.org/W2353001802","https://openalex.org/W2429300731","https://openalex.org/W2543836086","https://openalex.org/W2783499252","https://openalex.org/W2806332249","https://openalex.org/W2906507670","https://openalex.org/W4285719527","https://openalex.org/W4293657805","https://openalex.org/W6602452485","https://openalex.org/W6604108467"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2252845824","https://openalex.org/W3093967929"],"abstract_inverted_index":{"Finding":[0],"related":[1],"cases":[2,52],"is":[3,47],"an":[4,75],"important":[5,21],"aspect":[6],"of":[7,23,69,80],"the":[8,24,33,39,59,67,70,78],"preparation":[9],"required":[10],"for":[11,32],"any":[12],"legal":[13,60],"case.":[14],"These":[15],"documents":[16],"are":[17,26],"often":[18],"complicated":[19],"and":[20,35,58],"characteristics":[22],"case":[25],"hidden.":[27],"This":[28],"makes":[29],"it":[30],"difficult":[31],"lawyers":[34],"paralegals":[36],"to":[37,49],"extract":[38],"said":[40,71],"characteristics.":[41],"We":[42],"propose":[43],"a":[44],"methodology":[45,72],"which":[46],"able":[48],"recommend":[50],"similar":[51],"based":[53,56],"on":[54],"content":[55],"similarity":[57],"citation":[61],"network.":[62],"It":[63],"was":[64],"observed":[65],"that":[66],"accuracy":[68],"increases":[73],"with":[74],"increase":[76],"in":[77],"number":[79],"recommendations":[81],"made.":[82]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
