{"id":"https://openalex.org/W2679689455","doi":"https://doi.org/10.1007/978-3-319-60837-2_23","title":"Metaphor Detection Using Fuzzy Rough Sets","display_name":"Metaphor Detection Using Fuzzy Rough Sets","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2679689455","doi":"https://doi.org/10.1007/978-3-319-60837-2_23","mag":"2679689455"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-60837-2_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-60837-2_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5014435955","display_name":"Sunny Rai","orcid":"https://orcid.org/0000-0002-0677-3747"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sunny Rai","raw_affiliation_strings":["Division of Computer Engineering, NSIT, University of Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Division of Computer Engineering, NSIT, University of Delhi, New Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082861306","display_name":"Shampa Chakraverty","orcid":"https://orcid.org/0000-0002-0267-8670"},"institutions":[{"id":"https://openalex.org/I110166357","display_name":"University of Delhi","ror":"https://ror.org/04gzb2213","country_code":"IN","type":"education","lineage":["https://openalex.org/I110166357"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shampa Chakraverty","raw_affiliation_strings":["Division of Computer Engineering, NSIT, University of Delhi, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"Division of Computer Engineering, NSIT, University of Delhi, New Delhi, India","institution_ids":["https://openalex.org/I110166357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014435955"],"corresponding_institution_ids":["https://openalex.org/I110166357"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.204,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91440501,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9908000230789185,"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/vagueness","display_name":"Vagueness","score":0.8855982422828674},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.8730097413063049},{"id":"https://openalex.org/keywords/concreteness","display_name":"Concreteness","score":0.81451416015625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7370984554290771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597869157791138},{"id":"https://openalex.org/keywords/metaphor","display_name":"Metaphor","score":0.5357818603515625},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.532162070274353},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5195267796516418},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5175192356109619},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5125767588615417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3608510494232178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35953080654144287},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34984028339385986},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13572576642036438},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.08283323049545288},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.0693034827709198}],"concepts":[{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.8855982422828674},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.8730097413063049},{"id":"https://openalex.org/C2778436841","wikidata":"https://www.wikidata.org/wiki/Q5159081","display_name":"Concreteness","level":2,"score":0.81451416015625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370984554290771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597869157791138},{"id":"https://openalex.org/C2778311575","wikidata":"https://www.wikidata.org/wiki/Q18534","display_name":"Metaphor","level":2,"score":0.5357818603515625},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.532162070274353},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5195267796516418},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5175192356109619},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5125767588615417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3608510494232178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35953080654144287},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34984028339385986},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13572576642036438},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.08283323049545288},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0693034827709198},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-60837-2_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-60837-2_23","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W151111161","https://openalex.org/W279341257","https://openalex.org/W570526890","https://openalex.org/W1550875987","https://openalex.org/W1614298861","https://openalex.org/W1911949338","https://openalex.org/W2010474349","https://openalex.org/W2017433125","https://openalex.org/W2027654459","https://openalex.org/W2052417512","https://openalex.org/W2052542167","https://openalex.org/W2076837108","https://openalex.org/W2101965159","https://openalex.org/W2109240574","https://openalex.org/W2126530744","https://openalex.org/W2127736283","https://openalex.org/W2136362180","https://openalex.org/W2151101158","https://openalex.org/W2157963336","https://openalex.org/W2252165069","https://openalex.org/W2252218513","https://openalex.org/W2397585225","https://openalex.org/W2515256889","https://openalex.org/W2912565176","https://openalex.org/W3214201242","https://openalex.org/W4211007335","https://openalex.org/W4255833381","https://openalex.org/W4285719527","https://openalex.org/W4299403135"],"related_works":["https://openalex.org/W2126563231","https://openalex.org/W2060617333","https://openalex.org/W2093381264","https://openalex.org/W2978519593","https://openalex.org/W2040401713","https://openalex.org/W2060378619","https://openalex.org/W2102746356","https://openalex.org/W2085182244","https://openalex.org/W2917836534","https://openalex.org/W1899703204"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
