{"id":"https://openalex.org/W4212824174","doi":"https://doi.org/10.1007/s10115-022-01658-9","title":"Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering","display_name":"Postimpact similarity: a similarity measure for effective grouping of unlabelled text using spectral clustering","publication_year":2022,"publication_date":"2022-02-17","ids":{"openalex":"https://openalex.org/W4212824174","doi":"https://doi.org/10.1007/s10115-022-01658-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10115-022-01658-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-022-01658-9","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-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/A5080351589","display_name":"Arnab Roy","orcid":"https://orcid.org/0000-0001-5961-2157"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Arnab Kumar Roy","raw_affiliation_strings":["LICHESS.ORG, Maine-et-Loire, Loire Valley, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LICHESS.ORG, Maine-et-Loire, Loire Valley, France","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051637191","display_name":"Tanmay Basu","orcid":"https://orcid.org/0000-0001-9536-8075"},"institutions":[{"id":"https://openalex.org/I288749910","display_name":"Indian Institute of Science Education and Research, Bhopal","ror":"https://ror.org/02rb21j89","country_code":"IN","type":"education","lineage":["https://openalex.org/I288749910"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tanmay Basu","raw_affiliation_strings":["Department of Data Science and Engineering, Indian Institute of Science Education and Research, Bhopal, India"],"raw_orcid":"https://orcid.org/0000-0001-9536-8075","affiliations":[{"raw_affiliation_string":"Department of Data Science and Engineering, Indian Institute of Science Education and Research, Bhopal, India","institution_ids":["https://openalex.org/I288749910"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080351589"],"corresponding_institution_ids":[],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":1.1098,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80801079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"64","issue":"3","first_page":"723","last_page":"742"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9991000294685364,"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":0.9940000176429749,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9932000041007996,"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":0.8061842918395996},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6824176907539368},{"id":"https://openalex.org/keywords/spectral-clustering","display_name":"Spectral clustering","score":0.6505324840545654},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6495465040206909},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6116482019424438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5373621582984924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42016690969467163},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4099228084087372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3802776634693146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28277185559272766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27845391631126404}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.8061842918395996},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6824176907539368},{"id":"https://openalex.org/C105611402","wikidata":"https://www.wikidata.org/wiki/Q2976589","display_name":"Spectral clustering","level":3,"score":0.6505324840545654},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6495465040206909},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6116482019424438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5373621582984924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42016690969467163},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4099228084087372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3802776634693146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28277185559272766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27845391631126404},{"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:10.1007/s10115-022-01658-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10115-022-01658-9","pdf_url":null,"source":{"id":"https://openalex.org/S81770430","display_name":"Knowledge and Information Systems","issn_l":"0219-1377","issn":["0219-1377","0219-3116"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Knowledge and Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1972640883","https://openalex.org/W1992419399","https://openalex.org/W2006444123","https://openalex.org/W2013029404","https://openalex.org/W2016788389","https://openalex.org/W2017100743","https://openalex.org/W2057923756","https://openalex.org/W2084028080","https://openalex.org/W2090550165","https://openalex.org/W2108433027","https://openalex.org/W2126552603","https://openalex.org/W2127615881","https://openalex.org/W2141585940","https://openalex.org/W2144359569","https://openalex.org/W2168103112","https://openalex.org/W2169495281","https://openalex.org/W2169658215","https://openalex.org/W2320922285","https://openalex.org/W2325227998","https://openalex.org/W2537931936","https://openalex.org/W2606611007","https://openalex.org/W2611726225","https://openalex.org/W2791376837","https://openalex.org/W2946787236","https://openalex.org/W2957759025","https://openalex.org/W2969656782","https://openalex.org/W4210880854","https://openalex.org/W4241122026"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W1482912984","https://openalex.org/W2163064108","https://openalex.org/W2072263576","https://openalex.org/W2474567666","https://openalex.org/W2003772934","https://openalex.org/W2790658443","https://openalex.org/W1457719682","https://openalex.org/W2767257176","https://openalex.org/W2915154372"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
